Robotics control, autonomous systems, multi-modal sensor fusion, sim-to-real transfer, edge inference, and embodied intelligence for industrial and defence applications.
Embodied Intelligence
From simulation to deployment — bridging the gap between digital intelligence and physical action.
Reinforcement learning, motion planning, and dexterous manipulation for industrial robots.
Perception, planning, and control stacks for autonomous vehicles, drones, and mobile robots.
Multi-modal fusion of LiDAR, camera, radar, IMU, and GPS for robust state estimation.
Domain randomization, system identification, and transfer learning from simulation to hardware.
Model optimization, quantization, and deployment to edge devices with real-time constraints.
Live twin synchronization for predictive control, anomaly detection, and fleet management.
Development Workflow
Vision-guided robotics and autonomous material handling.
Autonomous vehicles, drones, and unmanned systems.
Autonomous train operation and predictive perception.
Multi-physics simulation for system validation.
From intent to verified engineering artifact.