AI & ROBOTICS

Robotics is reshaping modern industry and society, powering everything from automated manufacturing lines to surgical assistance, drone deliveries, and self-driving vehicles. Demand for robotics specialists is on the rise—spanning start-ups, established engineering firms, healthcare providers, logistics giants, and beyond. Yet for many aspiring professionals, the question remains: how do you enter this multifaceted field, and how can you grow from a hands-on robotics engineer to a strategic leadership role?

Robotics revolves around designing, building, and operating robots capable of performing tasks autonomously or semi-autonomously. While the field historically emphasised industrial robots (e.g., robotic arms for assembly lines), it now spans personal/domestic robots (vacuums, lawn mowers), collaborative robots in factories, self-driving vehicles, and more.

Key focus of Robotics include:

Mechanical Design & Actuation: Selecting appropriate motors, gears, linkages, and structural components to achieve desired motion and stability.

Sensors & Perception: Equipping robots with cameras, LiDAR, force/torque sensors, or other devices to gather information about their environment.

Control Systems & Path Planning: Programming robots to interpret sensor data, navigate spaces, or coordinate multi-axis movements safely and efficiently.

Integration & Testing: Ensuring mechanical, electrical, and software subsystems work cohesively, verifying performance against functional and safety requirements.

Robotics roles often require a balance of mechanical, electrical, and software engineering skills, plus domain-specific knowledge (e.g., medical, agricultural, or logistics). Many roboticist also incorporate elements of AI, but traditional robotics can function with more “classical” control algorithms and logic.

AI & ROBOTICS: SKILL MAPPING

Robotics is inherently interdisciplinary, blending mechanical design, electronics, computer science, AI, and more. Cultivating a balanced skill set across hardware, software, and domain knowledge is crucial. Professionals desirous of making a career in Robotics should possess the following KSA.

Technical Proficiencies

Mechanical and Mechatronics

Understanding kinematics, dynamics, and mechanical design. Proficiency in CAD (SolidWorks, CATIA) helps visualise and refine robotic assemblies.

Electronics and Embedded Systems

o Circuit design, microcontroller programming, and sensor-actuator integration. Familiarity with real-time OS or embedded Linux may be invaluable.

Programming and Software

o Experience with control algorithms (PID, MPC), path planning, computer vision (OpenCV), and frameworks like ROS or TensorFlow for AI-driven tasks.

Systems Integration

o Combining multiple subsystems (mechanics, sensors, computing) into robust solutions—requiring debugging, hardware-software co-design, and an understanding of data flow.

Soft Skills

1. Collaboration

o Robotics teams often include mechanical engineers, software developers, AI specialists, and domain experts. Strong teamwork fosters synergy.

2. Problem-Solving

o Real-world robotic deployments inevitably face sensor noise, mechanical wear, or unexpected environment changes, demanding creative and iterative solutions.

3. Communication

o Explaining technical details to managers, clients, or cross-functional colleagues in clear, comprehensible ways.

4. Adaptability

o As technology evolves quickly—particularly with robotics AI and autonomy—professionals must stay open to continual learning.

AI in Robotics focuses on endowing robots with higher-level autonomy and cognitive abilities, using machine learning, computer vision, natural language processing, and other AI techniques. Rather than solely relying on predefined instructions, an AI-equipped robot can learn from data or adapt its behaviour in real-world environments.

Key focuses of AI in Robotics:

• Computer Vision & Perception: Using convolutional neural networks (CNNs) or other ML models to interpret camera feeds, identify objects, track motion, or detect obstacles.

• Decision-Making & Planning: Leveraging reinforcement learning, probabilistic reasoning, or planning algorithms to choose actions, handle uncertainty, or optimise tasks.

• Human-Robot Interaction (HRI): Developing speech recognition, gesture detection, or other interactive capabilities so robots can collaborate safely and effectively with humans.

• Autonomous Navigation: Implementing SLAM (Simultaneous Localisation and Mapping) or sensor fusion algorithms for driverless cars, drones, or mobile robots.

Some of the distinctive skills required are:

o Mechanical Kinematics & Dynamics: Understanding linkages, forward/inverse kinematics, and dynamic models of robotic arms, humanoids, or mobile platforms.

o Path Planning & Motion Control: Implementing algorithms for trajectory generation, collision avoidance, or feedback loops with multiple degrees of freedom.

o Industry-Specific Knowledge: Certain robotics roles demand domain know-how (e.g., surgical robots, logistics automation, or agricultural robotics).

o Embedded Systems & Electronics: Expertise in microcontroller programming, PCB design, circuit analysis, and real-time firmware development.

o Interdisciplinary Product Development: Skilled at balancing mechanical constraints, sensor limitations, and embedded software architectures.

o Product-Oriented Approach: Often producing consumer or industrial products that integrate mechanical / electronic sub-systems in a cost-effective, manufacturable design.

o Machine Learning & Neural Networks: Applying supervised or reinforcement learning for perception, object detection, control policies, or environment mapping.

o Computer Vision & Sensor Fusion: Combining data from cameras, LiDAR, or RADAR with neural network-based processing for robust real-time perception.

o High-Level Decision-Making & Autonomy: Designing algorithms that let robots adapt dynamically, handle uncertainty, or collaborate with humans in unstructured settings.

Professionals in AI for Robotics commonly have a background in computer science, machine learning, or robotics, focusing on implementing and optimising AI algorithms on hardware-constrained robotic platforms. Additionally, some jobs require familiarity with CAD tools, basic electronics, and programming fundamentals (C/C++, Python), understanding basic robotics libraries (e.g., ROS, OpenCV),

For control electronics in robots: o Education in electrical engineering, control systems, or mechatronics with basic knowledge of PLC programming (Siemens, Rockwell, etc.) and industrial communication protocols (Ethernet/IP, Profibus, Modbus).

Trends Shaping the Future of Robotics

Robotics is evolving swiftly, driven by converging innovations in AI, materials science, and connectivity. Staying updated helps you identify hot areas of research or commercial demand:

1. Collaborative Robots (Cobots)

o Designed to work alongside humans safely, expanding automation in SMEs, food packaging, healthcare, and beyond.

2. AI and Machine Learning

o Robots gain advanced perception, object recognition, and decision-making capabilities—enabling dynamic adaptability in unstructured environments.

3. Edge and Cloud Robotics

o Offloading computations to the cloud or performing them at the network edge for real-time responsiveness in warehouses, factories, or agricultural fields.

4. Soft Robotics

o Flexible actuators and compliant materials for delicate handling (e.g., in food processing, wearable exoskeletons, or biomimetic designs).

5. Swarm Robotics

o Coordinated multi-robot systems for tasks like search and rescue, environmental monitoring, or large-scale product assembly.

6. Robot Ethics and Safety

o As robots become ubiquitous, developers must address regulatory, legal, and ethical concerns—particularly regarding autonomy, data usage, or potential displacement of human roles.

AI & ROBOTICS: APPLICATIONS

DIGITAL FACTORY/SMART MANUFACTURING

Manufacturing is getting digitised by integrating sensors & robots for monitoring performance and precision. Many repetitive and hazardous tasks are being accomplished by robots. AI integration further makes the robots decide the best action in certain situations.

SUGGESTED CERTIFICATIONS:

ADVANCED COMPETENCY MODULE:

AM/AIR/SM/01 CREDITS 8

1. AI PLATFORM TO MANAGE INDUSTRIAL ROBOTS

2. AI POWERED SOFTWARE & ALGORITHMS FOR INDUSTRIAL ROBOTS

3. WORKFLOW AUTOMATION USING AI BOTS

4. MOBILE AUTONOMOUS ROBOTS FOR SMART MANUFACTURING

5. COBOT FLEET AUTOMATION

LOGISTICS & SUPPLY CHAIN

e-commerce platform uses fleets of mobile robots to retrieve items from shelves. A Robotics Engineer designs path-planning algorithms, ensuring robots navigate efficiently and avoid collisions. The system reduces picking errors and shortens delivery times. Logistics start-up leverages deep reinforcement learning to teach robots & drones about pick and place packages to reduce last-mile delivery costs in congested urban areas.

SUGGESTED CERTIFICATIONS:

ADVANCED COMPETENCY MODULE:

AM/AIR/SM/02. CREDITS 4

1. ROBOTICS FOR WAREHOUSE: SWARM, 4D VISION & PICK N PLACE

2. ALGORITHMS FOR LOGISTICS ROBOTS

AGRICULTURE

Smart agriculture uses robots for picking ripe fruits, deweeding farms, harvesting, sowing and other tasks. AI helps in enabling faster decisions in real time. Automated harvesting drones, weeding robots, and real-time crop monitoring systems help farmers manage yields more efficiently, tackling labour shortages and sustainability targets.

SUGGESTED CERTIFICATIONS:

ADVANCED COMPETENCY MODULE:

AM/AIR/SM/ 04 CREDITS 4

1. ROBOTICS FOR SMART FARMS

2. FARM ROBOTICS: SWARM, 4D VISION, PICK N PLACE

AI & ROBOTICS: CAREER PATHWAYS

ROBOTICS MECHANICAL ENGINEER

Robotics Mechanical Engineers design robotic frames, joints, gear systems, and end-effectors—prioritising durability, precision, and efficiency. They collaborate with electronics and software teams to ensure mechanical integrity under real-world usage.

Core Skills & Interests:

• CAD proficiency (SolidWorks, Inventor), FEA simulations (ANSYS)

• Understanding of materials science, actuators (motors, pneumatics), and structural load analysis

• Comfort with iterative prototyping, from 3D printing to CNC machining

Hands-on approach to testing mechanical reliability

ELECTRONICS ENGINEERS

ROBOTICS MECHANICAL ENGINEER

Embedded & Electronics Engineers develop the hardware brains behind robots—microcontroller boards, sensor circuits, power distribution, and firmware enabling real-time control loops.

Core Skills & Interests:

• Circuit design, PCB layout, familiarity with microcontrollers (STM32, PIC, Arduino) or FPGAs

• Real-time operating systems (FreeRTOS) or bare-metal programming, handling interrupts and timers

• Integrating sensors (IMUs, LiDAR, cameras) with communication protocols (I2C, SPI, CAN)

• Analytical debugging, from scope measurements to firmware tracing

SOFTWARE DEVELOPERS

ROBOTICS MECHANICAL ENGINEER

AI & COMPUTER VISION

Robotics Software Developers craft the software stack controlling robots’ behaviours—ROS nodes, motion planning, sensor fusion, or networking layers. They ensure stable, modular code for varied environments.

Core Skills & Interests:

• Proficiency in C++/Python, familiarity with Robot Operating System (ROS) frameworks

• Understanding of kinematics, path planning algorithms, or control loops

• Skilled in debugging concurrency issues, real-time constraints, or distributed systems

• Collaborative approach with hardware teams and testing in simulation or real robots

AI & COMPUTER VISION

HUMAN ROBOT INTERACTION ENGINEER

AI & COMPUTER VISION

AI & Computer Vision Specialists enable robots to perceive and interpret surroundings—training neural networks for object detection, applying SLAM for navigation, or refining reinforcement learning.

Core Skills & Interests:

• Strong background in ML frameworks (TensorFlow, PyTorch), image processing with OpenCV

• Familiarity with 3D vision, sensor fusion, or deep RL for advanced autonomy

• Skilled in data collection, annotation, and model performance tuning

• Collaboration with embedded or software dev teams to deploy models efficiently

OPERATIONS SPECIALIST

HUMAN ROBOT INTERACTION ENGINEER

Field/Operations Specialists deploy and maintain robots in real-world settings—factories, farms, mines, or public spaces. They troubleshoot hardware/software issues and ensure robots stay operational.

Core Skills & Interests:

• Hands-on approach to mechanical assembly, sensor calibration, hardware swaps, or field modifications

• Understanding of basic electronics, firmware, or software logs for onsite debugging

• Quick problem-solving to maintain minimal downtime or meet demonstration deadlines

• Strong communication with cross-functional teams, bridging real conditions and design improvements

HUMAN ROBOT INTERACTION ENGINEER

HRI & UX Engineers shape how users operate or collaborate with robots—designing intuitive interfaces, voice commands, AR controls, or safety mechanisms. They ensure robots are user-friendly and safe.

Core Skills & Interests:

• Background in user experience design, interface prototyping, or ergonomics in technology

• Familiarity with HRI research, user testing methodologies, and design thinking approaches

• Possibly knowledge of UI frameworks, speech recognition, or AR/VR for advanced interactions

• Emphasis on user-centred testing cycles and iterative design

PRODUCT MANAGER

Robotics Product or Project Managers orchestrate entire developments—coordinating mechanical, electronics, software, and AI teams while aligning budgets, timelines, and stakeholder goals.

Core Skills & Interests:

• Project management (Agile, Scrum, or traditional PM), roadmapping, risk management

• Capable of balancing engineering complexities, user requirements, and business objectives

• Strong communication with all levels—executives, developers, end users—to ensure synergy

• Aptitude for strategic planning, discovering new market opportunities, or launching new robotic solutions

AI & ROBOTICS: CERTIFICATIONS: ENTRY LEVEL

AI powered computer vision software for industrial robots. 15 Hrs, 1 Cr

This is an introductory course for developing an understanding about the guidance system in a robot that enables vision like a human working on a shop floor. The object library is developed to identify industrial objects and can be further customised.

Simulation tools and algorithms for managing swarm robotics.15 Hrs, 1 Credit

This course develops the ability to control a swarm of ground robots through a guiding software backed by simulations & algorithms. The optimised movement path is developed for navigation of each robot without clashing or duplicity. This is specifically for large warehouses deploying swarms for e-com operations.

Software platform for robot fleet management in industrial environment. 15 Hrs, 1 Cr

This course further builds on the above course to develop the ability to configure the movement path and tasks for a fleet deployed in an industrial setting with diverse objects and dynamic locations. Useful for switchingng

Designing high accuracy AI powered multi-skilled Bot to automate workflows. 25 Hrs, 1.5 Cr

Industrial settings have numerous workflows which are time consuming and add to the cost. This course develops the ability to design & configure bots to automate workflows using AI to optimise planning.

AI driven Fleet management software for logistics & warehouse operation. 15 Hrs, 1 Cr

Large warehouses with thousands of objects cannot be managed manually and need deployment of robot fleet powered by AI. The software to manage the fleet integrates computer vision, object library, path movement, warehouse composition and other workflows. This course helps develop the skill to manage large warehouses.

Robot automation software through self-learning AI. 15 Hrs, 1 Cr

This course develops the ability to customise the software with extensive ML thereby improving the automation of workflows. With increasing data populating the ML repository, the AI learns more to automate and become self managing.

AI & ROBOTICS: CERTIFICATIONS: ADVANCED LEVEL

AI powered robotics for construction industry..15 Hrs, 1 Credit

This course is for professionals in construction industry to upskill and learn about how robotics is making the industry more efficient. This course enables to learn about robotic layout solution to address the construction industry's pressing challenges and automating some workflows through data analysis and AI algorithms.

AI enabled robotics powered by chef OS for food industry. 15 Hrs, 1 Cr

This course is for hospitality industry professionals to upskill and acquire skills to manage robotics adoption. Food industry works with a wide variety of ingredients and need precision that is provided by AI powered robots. AI equips Chef's systems with the flexibility needed to handle the highly variable nature of food.

AI driven robotics for Pick n Place use in warehouses & retail logistics. 25 Hrs, 1.5 Cr

This course develops skill to manage an intelligent AI-powered robotics solution that provides fully autonomous pick and place capabilities for a wide range of applications, including order picking, put wall, and sorter induction. By leveraging advanced AI vision system and smart grippers, robots can be used for a vast range of item shapes, item packaging, and SKUs. The robot turns any Goods to Person (GTP) system into a Goods to Robot (GTR) system. The solution leverages AI-powered, real-time motion planning to enable robots to adapt on the fly for mixed-case scenarios.

AI powered vision system with edge computing for solar farm robotics. 25 Hrs, 1.5 Cr

Solar is the fastest growing form of energy in the world. Huge solar farms are being developed in India and other tropical countries. Traditional construction methods can’t keep up with the numbers, so new techniques like AI and automation are essential to meet demand. With intelligent sensor fusion, AI-powered vision systems, real-time production data, and edge computing, the most advanced construction autonomy is now available for piling on solar farms. Construction industry professionals can upskill to switch career to renewablele energy or software sector.

Mobile Robots: Integration of machine vision, LIDAR, SLAM on a software platform with 5G 35 Hr 2 Cr

This course develops advanced skills in robotic professionals to move up the value chain a nd become experts of mobile robots. Robot navigation can take a major leap forward with advancements in Simultaneous Localization and Mapping (SLAM) algorithms. Once again, engineers can apply machine learning techniques to the 3D data environment for increased perception and decision-making capabilities.

As the robot's situational awareness improves, so can its autonomy and capabilities outside tightly controlled environments.

Integrating Wi-Fi, Bluetooth and 5G networks enable remote control, real-time data transmission and over-the-air updates, enhancing mobile robots' flexibility and adaptability.

5G networks, with low latency and high bandwidth, are rapidly being rolled out worldwide. This technology opens up new possibilities for mobile robotics. Robots can now rely on cloud computing for resource-intensive tasks like complex data processing and decision-making while maintaining real-time responsiveness.

Simulation tools for testing algorithms to map Swarm Robotics in e-com warehouse or farm 35 Hr 2 Cr

This is another course to develop expertise in Swarm robotics which relies on algorithms that govern how individual robots sense, communicate, and act. Each robot uses sensors (e.g., cameras, proximity detectors) to perceive its surroundings and exchanges limited information with neighbors via wireless links, infrared, or other short-range methods. Key challenges in swarm robotics include ensuring reliable coordination without centralized oversight and managing scalability as the number of robots grows. Success depends on designing simple, fault-tolerant rules that scale. The balance of simplicity and emergent complexity makes swarm robotics a powerful tool for solving distributed problems.

AI & ROBOTICS: CERTIFICATIONS: ADVANCED LEVEL

Hardware agnostic software with edge AI to enable robots with realtime reasoning. 25 Hrs, 1.5 Cr

This course develops a higher order skill in professionals to configure AI robotic software platform that empowers machines to observe, learn, reason, and act with unprecedented agility — requiring minimal training time, limited data sets, and lower computational and power requirements. It brings AI to the edge, empowering machines to quickly adapt and adjust to environmental or task variances without reprogramming. A real-time, closed-loop, autonomy framework for enabling machines to observe, learn, reason, and act like humans. This skill is used to make robots intelligent with each passing day through a self learning and reasoning set of algorithms.

Intelligent navigation by 4D Vision-guided robotics to Interpret Complex Environments: 25 Hr 1.5Cr

This course enables upskilling in the complex field of Vision guided robotics powered by AI & 4D vision. This technology enables robots to interpret complex environments: Robots can discern clear and shiny objects even under ambient light, achieving an industry-leading vision cycle time as low as 0.3 seconds. The system understands the geometry and markings on parts, ensuring they are correctly oriented during assembly, even when sourced from random bins.

Swarm robot automation platform to synchronize data communication across all systems. 35 Hrs, 2 Cr

Large industries with multiple systems require agile collaboration among different types of operating equipment, as well as IT, OT, and IoT devices from various partners. A robotic professional reaches to the top only when he has the skill to manage such complex systems through an integrated software platform. This course imparts such expertise to understand the all-in-one platform to synchronize data communication across different brands of IT and OT systems, robots, factory IoT, and equipment, enablilesng users to simply plug and deploy all engaged assets, such as robots or a hybrid fleet composed of multi-brand robots. This greatly reduces the amount of setup and changeover time required and enhances the ROI of existing infrastructure.

Autonomous robotics platform for industrial inspection & maintenance by robots fleet. 25 Hrs, 1.5 Cr

This course develops skill to manage autonomous robotic solutions to improve the safety, efficiency, and sustainability of industrial work.end-to-end robotic inspection solution engineered for complex industrial facilities and Ex-rated areas. It addresses key inspection challenges and can improve uptime, enhance safety, and optimize inspection and maintenance. Automated inspection capabilities, even in complex facilities and extreme weather, make it an ideal solution. The course enables upskilling opportunity to rise to the top with the skill to visualise end to end processes for automation.

Cobot fleet automation combining perception, decision-making & action in closed-loop system 35Hr 2C

As we progress toward Industry 5.0, collaborative robots (cobots) are playing a crucial role in reshaping how humans and machines work together and rely heavily on effective human machine interaction.

Unlike traditional industrial robots that operate in isolated environments, cobots are designed to work alongside humans, enhancing productivity and safety. Industry 5.0 aims to integrate human creativity and problem-solving with the efficiency of AI and robotics, creating more personalized and intelligent automation systems.

This course is for professionals in automotive and large manufacturing industries deploying robots along side humans on the same process. Skill of mapping processes for Cobots, also termed as Human Robot Interaction, is high in demand and a futuristic skill to further build robotic management competencies.

AI & ROBOTICS

AI & ROBOTICS: SKILL MAPPING

AI & ROBOTICS: APPLICATIONS

DIGITAL FACTORY/SMART MANUFACTURING

LOGISTICS & SUPPLY CHAIN

AGRICULTURE

AI & ROBOTICS: CAREER PATHWAYS

ROBOTICS MECHANICAL ENGINEER

ROBOTICS MECHANICAL ENGINEER

ROBOTICS MECHANICAL ENGINEER

ELECTRONICS ENGINEERS

ROBOTICS MECHANICAL ENGINEER

ROBOTICS MECHANICAL ENGINEER

SOFTWARE DEVELOPERS

ROBOTICS MECHANICAL ENGINEER

AI & COMPUTER VISION

AI & COMPUTER VISION

HUMAN ROBOT INTERACTION ENGINEER

AI & COMPUTER VISION

OPERATIONS SPECIALIST

HUMAN ROBOT INTERACTION ENGINEER

HUMAN ROBOT INTERACTION ENGINEER

HUMAN ROBOT INTERACTION ENGINEER

HUMAN ROBOT INTERACTION ENGINEER

HUMAN ROBOT INTERACTION ENGINEER

PRODUCT MANAGER

PRODUCT MANAGER

PRODUCT MANAGER

AI & ROBOTICS: CERTIFICATIONS: ENTRY LEVEL

AI powered computer vision software for industrial robots. 15 Hrs, 1 Cr

Simulation tools and algorithms for managing swarm robotics.15 Hrs, 1 Credit

Software platform for robot fleet management in industrial environment. 15 Hrs, 1 Cr

Designing high accuracy AI powered multi-skilled Bot to automate workflows. 25 Hrs, 1.5 Cr

AI driven Fleet management software for logistics & warehouse operation. 15 Hrs, 1 Cr

Robot automation software through self-learning AI. 15 Hrs, 1 Cr

AI & ROBOTICS: CERTIFICATIONS: ADVANCED LEVEL

AI powered robotics for construction industry..15 Hrs, 1 Credit

AI enabled robotics powered by chef OS for food industry. 15 Hrs, 1 Cr

AI driven robotics for Pick n Place use in warehouses & retail logistics. 25 Hrs, 1.5 Cr

AI powered vision system with edge computing for solar farm robotics. 25 Hrs, 1.5 Cr

Mobile Robots: Integration of machine vision, LIDAR, SLAM on a software platform with 5G 35 Hr 2 Cr

Simulation tools for testing algorithms to map Swarm Robotics in e-com warehouse or farm 35 Hr 2 Cr

AI & ROBOTICS: CERTIFICATIONS: ADVANCED LEVEL

Hardware agnostic software with edge AI to enable robots with realtime reasoning. 25 Hrs, 1.5 Cr

Intelligent navigation by 4D Vision-guided robotics to Interpret Complex Environments: 25 Hr 1.5Cr

Swarm robot automation platform to synchronize data communication across all systems. 35 Hrs, 2 Cr

Autonomous robotics platform for industrial inspection & maintenance by robots fleet. 25 Hrs, 1.5 Cr

Cobot fleet automation combining perception, decision-making & action in closed-loop system 35Hr 2C

Autonomous decision making under water robot for maintenance of oil rig & sea installations 25H 1.5C

Agentic AI solution development for swarm robots automation in logistics & transportation. 25Hr 1.5C

Developing a collaborative Human Robot interaction control system. 25 Hrs, 1.5 Cr

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