Rishi Veerapaneni
Staff Research Scientist at Boston Dynamics
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRishi Veerapaneni is a PhD student and Graduate Student Researcher at CMU's Robotics Institute, supported by an NSF Graduate Research Fellowship and working with Professors Maxim Likhachev and Jiaoyang Li on search-based motion planning for single- and multi-agent systems. He focuses on designing improved heuristic search algorithms, multi-agent coordination (MAPF), and integrating search with machine learning, building on impactful undergraduate research at Berkeley that produced spotlight presentations at NeurIPS PGR and CoRL. With a double major in EECS and Applied Math from UC Berkeley and roughly a decade of research and teaching experience, he combines strong theoretical foundations with practical mentorship and course-improvement initiatives. His background spans ML, robotics, and quantitative modeling—from RL-based object discovery with Sergey Levine to market-impact modeling at Two Sigma—showing a knack for bridging principled algorithms and real-world systems. Not obviously apparent from titles alone, he has led teaching and mentor programs to scale instructional quality across large courses, reflecting both technical depth and educational leadership.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electrical Engineering & Computer Science (EECS) and Applied Mathematic, Bachelor's degree, Electrical Engineering & Computer Science (EECS) and Applied Mathematic at University of California, BerkeleyDoctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon University
Github Skills (28)
robotics10
nvidia-isaac10
vscode-extension9
vscode7
pathfinding7
multi-agent6
cpp5
mujoco5
campus5
reinforcement-learning5
typescript5
multidimensional-arrays5
simulation5
microsoft4
machine-learning4
Programming languages (4)
Github contributions (5)
Rishi-V/IsaacLabFork
Dec 2024 - Mar 2025
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:46 pushes, 6 branches in 2 months
Rishi-V/lacam_original
Oct 2023 - Sep 2024
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding (AAAI-23)
Contributions:22 pushes, 2 branches in 11 months
multi-agentpathfinding
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