Papers
17
Total Citations
246
H-Index
8
About
Stephen McCrory is a robotics researcher whose work centers on humanoid robot locomotion, autonomous navigation, and teleoperation, with a strong focus on enabling robots to operate effectively in real-world, unstructured environments. Affiliated with the Florida Institute for Human and Machine Cognition (IHMC), McCrory contributed to one of the field's most celebrated competitive achievements: Team IHMC's victory in the DARPA Virtual Robotics Challenge and their top-two finishes across all three phases of the broader DARPA Robotics Challenge — work documented in papers accumulating over 130 citations. These competitions demanded rapid advances in bipedal walking, vehicle operation, and manipulation under extreme constraints, and McCrory's retrospective analyses helped distill hard-won lessons for the broader robotics community. His subsequent research has pushed humanoid capabilities further, addressing GPU-accelerated terrain perception, footstep planning over rough terrain, and traversability-aware navigation planning. More recently, McCrory has explored mixed reality and high-speed teleoperation interfaces that make human-robot collaboration more intuitive and resilient. His body of work represents a sustained effort to bridge the gap between laboratory robotics and practical deployment, making him a notable contributor to the evolving field of humanoid robot autonomy and control.
Research Focus
Key Achievements
Top Papers
- 1Summary of Team IHMC's virtual robotics challenge entry86 citations · 2013
- 2
- 3Mixed Reality Teleoperation Assistance for Direct Control of Humanoids16 citations · 2024
- 4A Fast, Autonomous, Bipedal Walking Behavior over Rapid Regions15 citations · 2022
- 5
- 6Bipedal Navigation Planning over Rough Terrain using Traversability Models10 citations · 2023
- 7High-Speed and Impact Resilient Teleoperation of Humanoid Robots10 citations · 2024
- 8
- 9Footstep Planning for Autonomous Walking Over Rough Terrain7 citations · 2019
- 10