Best Paper · IEEE-RAS Humanoids 2022

Bhavyansh Mishra
machines that see, think & move.

Ph.D. humanoid robotics researcher & engineer. Seven years building perception, autonomy, and learning systems across four of the world's most advanced humanoids.

From GPU-accelerated terrain perception on Boston Dynamics Atlas and NASA Valkyrie, to world models and reinforcement learning for Tesla Optimus — 16 peer-reviewed papers, 140+ citations, and real robots walking through the real world.

C++ / CUDAPerceptionSLAMFootstep PlanningWorld ModelsReinforcement Learning
Explore the timeline → GitHub LinkedIn
Bhavyansh Mishra
Humanoids worked on
OptimusTesla
AtlasBoston Dynamics
ValkyrieNASA JSC
NadiaBoardwalk Robotics
// the timeline

A journey through impactful work

From soldering irons in high school to humanoid robots on the world stage. Every milestone below shipped real research, real code, or a real robot — here's the throughline.

// honors & recognition

Awards & recognition

National competitions, a best-paper award at the field's premier humanoid venue, and press coverage along the way.

// peer-reviewed research

Publications

Sixteen peer-reviewed papers across robotics and software-engineering venues — ICRA, IROS, IEEE-RAS Humanoids, and more — cited 140+ times.

Federal research funding

  • Detecting Usable Planar Regions for Legged Robot Locomotion — ONR N00014-19-1-2023 · NASA 80NSSC18M0071
  • A Behavior Architecture for Fast Humanoid Robot Door Traversals — ONR N00014-22-1-2593 ("Breaching & Accessing Urban Structures with Humanoid Robots")
  • Bipedal Navigation Planning over Rough Terrain Using Traversability Models — NASA 80NSSC20M0197
Invited reviewer — IEEE-RAS Humanoids (2022, 2024) · IEEE/RSJ IROS (2023, 2024) · MDPI Remote Sensing & Applied Sciences. Google Scholar ↗