Atharva Bhorpe
Hi, I’m Atharva.
Building learning-based robotic systems.
Robotics master’s student at RWTH Aachen. Mechanical engineering and industrial automation background.
Before my robotics studies, I developed technical proposals for vehicle and EV-battery automation at Wipro PARI. I’m interested in imitation learning for manipulation and compact models for robot navigation.
Selected projects
Tiny Recursive Model for Path Planning
- Objective
- Learn occupancy-grid navigation.
- Outcome / role
- ≈1.2M parameters · model development and evaluation.
- Tools
- PyTorch · Transformers
Autonomous Insertion Challenge
- Objective
- Learn robotic connector insertion.
- Outcome / role
- 86/100 SFP score, résumé-reported · policy tuning in a team.
- Tools
- LeRobot · PyTorch · Diffusion Policy · Gazebo
IMU-controlled Robotic Arm
- Objective
- Control a simulated arm with sensors.
- Outcome / role
- IMU + encoder + IR · control integration.
- Tools
- ROS 2 Humble · MoveIt · ESP32 · Arduino
Cost-effective AMR — RBot
- Objective
- Build an affordable ROS mobile robot.
- Outcome / role
- 5kg at 0.3m/s, author-reported · laptop-based ROS and firmware integration.
- Tools
- ROS · Arduino · ESP32 · Fusion 360
