Jerry Pratt

About

Jerry Pratt is a pioneering roboticist whose research has fundamentally shaped our understanding of bipedal locomotion, balance control, and humanoid robot design. Best known for developing the concept of "capture points" — a mathematically principled framework for determining when and where a humanoid robot must step to avoid falling — his 2006 paper on push recovery has accumulated nearly 1,100 citations and remains a cornerstone reference in legged robotics. Pratt's equally influential work on Virtual Model Control introduced an intuitive motion control language that simplifies the translation of high-level locomotion goals into low-level robot commands, garnering over 850 combined citations across related publications. His contributions to hardware are equally significant: his development of series elastic actuators, which place compliant springs between motor and output to achieve high-fidelity force control, revolutionized robot joint design and has shaped an entire generation of compliant robotic systems. As a key figure at the Florida Institute for Human & Machine Cognition (IHMC), Pratt led teams competing in the DARPA Robotics Challenge, applying his capturability-based locomotion theories to real humanoid platforms like Atlas. His recent survey on humanoid teleoperation reflects his continued leadership at the frontier of human-robot collaboration.

Research Focus

Key Achievements

Top Papers

1. 1
   Capture Point: A Step toward Humanoid Push Recovery

   1,098 citations · 2006
2. 2
   Virtual Model Control: An Intuitive Approach for Bipedal Locomotion

   550 citations · 2001
3. 3
   Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models

   479 citations · 2012
4. 4
   Series elastic actuator development for a biomimetic walking robot

   415 citations · 1999
5. 5
   Series elastic actuators for high fidelity force control

   342 citations · 2002
6. 6
   Virtual model control of a bipedal walking robot

   301 citations · 2002
7. 7
   Capturability-based analysis and control of legged locomotion, Part 2: Application to M2V2, a lower-body humanoid

   263 citations · 2012
8. 8
   Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas

   255 citations · 2016
9. 9
   Team IHMC's Lessons Learned from the DARPA Robotics Challenge Trials

   242 citations · 2015
10. 10
    Teleoperation of Humanoid Robots: A Survey

    236 citations · 2023

Key Collaborators

Contact & Links