Department
AI & Machine Learning
The intelligence layer of GENBOT — gesture recognition, reinforcement learning and on-device inference.
The AI & Machine Learning department builds the intelligence inside GENBOT's robots. Members work on models that run on the devices themselves, so robots can react to the real world in real time — from recognising a hand gesture to learning a navigation policy.
Core research areas
- Gesture recognition — hand tracking for human-robot and human-computer interaction.
- Reinforcement learning — policies trained in simulation and deployed to hardware.
- On-device inference — models that run on embedded hardware without cloud round-trips.
- Edge processing — real-time perception for drones and humanoids.
Projects under this department
- NexBot — adaptive learning and real-time environment response.
- PathFinder — reinforcement-learning navigation policies.
- Gesture Desktop — MediaPipe hand tracking, live on this website.
Skills you build
Machine learning fundamentals, computer vision, reinforcement learning, model deployment and edge AI — applied to projects that are actual robots, not tutorials.
Interested in the AI side of robotics? Join GENBOT and build models that move machines.
Want to train GENBOT's next model?
The AI & ML team is open to students from CSE, AI&ML and every other branch.
Join GENBOT