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Shivam Goel
Senior Robotics Researcher specializing in neurosymbolic robot learning and manipulation
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About
Robotics software researcher who led a Boston Dynamics SPOT project on non-prehensile manipulation of heavy boxes, combining MuJoCo-based RL, ViT-based perception, and SPOT SDK control; the work is under review for ICRA 2026. Also built a ROS planning-and-learning stack on a LoCoBot using PDDL task planning, RTAB-Map SLAM, MoveIt motion planning, and RL to recover from execution failures.
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Key Strengths
- Led end-to-end robotics research project (concept, implementation, paper, demos)
- Reinforcement learning policy training and hyperparameter/reward tuning for manipulation
- Simulation-to-robot workflow (PyBullet proof-of-concept to MuJoCo to real SPOT execution)
- Integrated perception-to-action pipeline (ViT-based detection to SPOT grasping/control)
- Strong ROS debugging workflow (RViz visualization, TF tree analysis, rostopic inspection)
- Built ROS-based planning + learning stack (PDDL task planning, MoveIt, RTAB-Map, RL for failure recovery)
- Coordinated dual-robot execution via Python multithreading and synchronization
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Experience
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Publications
15 publications
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