Christopher McGreavy
Papers
7
Total Citations
173
H-Index
6
About
Christopher McGreavy is a leading researcher in the fields of assistive robotics, legged locomotion, and human-robot interaction. His work bridges the gap between human biomechanics and robotic control, with a particular focus on optimizing exoskeleton assistance and enhancing the loco-manipulation capabilities of quadruped and humanoid robots. McGreavy’s most impactful contribution is his 2022 paper, “Human-in-the-Loop Optimization of Exoskeleton Assistance Via Online Simulation of Metabolic Cost,” which has garnered 96 citations and introduced a novel framework for personalizing wearable robotic support by simulating human energy expenditure in real time. He has also made significant strides in quadruped robotics, demonstrating how body-ground contact can be optimized to improve balance during complex manipulation tasks—a concept explored in two of his highly cited works. Additionally, his research on identifying critical sensory feedback for reinforcement learning-based locomotion has advanced the development of more adaptive and efficient robot motor skills. McGreavy’s work has been recognized for its practical impact, with applications ranging from rehabilitation to autonomous exploration, and his studies on push recovery and energy-efficient stepping continue to inform the design of more robust and human-like robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Identifying important sensory feedback for learning locomotion skills22 citations · 2023
- 4
- 5Unified Push Recovery Fundamentals: Inspiration from Human Study7 citations · 2020
- 6Next Best View Planning for Object Recognition in Mobile Robotics7 citations · 2016
- 7Reachability Map for Diverse and Energy Efficient Stepping of Humanoids3 citations · 2022