Papers
12
Total Citations
157
H-Index
7
About
Duncan Calvert is a leading researcher in humanoid robotics, specializing in perception, locomotion, and teleoperation for legged systems. His work has been instrumental in advancing autonomous bipedal walking over rough terrain, with a focus on real-time environmental mapping using planar region extraction algorithms. Calvert’s contributions to the DARPA Robotics Challenge (DRC) as part of Team IHMC, where the team achieved first or second place in all three phases, are documented in his highly cited 2016 paper (51 citations), which provides critical lessons for disaster-response robotics. He has pioneered GPU-accelerated perception engines that enable dynamic behaviors like running and backflips, and developed mixed reality teleoperation systems that enhance humanoid control in unstructured environments. His research on high-speed, impact-resilient teleoperation and efficient terrain mapping for footstep planning has garnered over 150 total citations, reflecting its impact on both academia and industry. Calvert’s work bridges the gap between robust perception and agile locomotion, making humanoid robots more capable in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Detecting Usable Planar Regions for Legged Robot Locomotion25 citations · 2020
- 3Mixed Reality Teleoperation Assistance for Direct Control of Humanoids16 citations · 2024
- 4A Fast, Autonomous, Bipedal Walking Behavior over Rapid Regions15 citations · 2022
- 5
- 6High-Speed and Impact Resilient Teleoperation of Humanoid Robots10 citations · 2024
- 7
- 8
- 9Generating Humanoid Multi-Contact Through Feasibility Visualization5 citations · 2023
- 10