Sam Ingersoll
Papers
1
Total Citations
177
H-Index
1
About
Sam Ingersoll is a leading roboticist whose work centers on enabling legged robots to navigate complex, unstructured environments with unprecedented robustness. His primary research areas include contact-aware locomotion, probabilistic modeling, and event-based control systems. Ingersoll’s most significant contribution is the development of a contact model fusion framework, introduced in his highly cited 2018 paper (177 citations), which probabilistically integrates uncertain terrain geometry, dynamics, and kinematics. This approach allows robots to manage unpredictable contact transitions—a critical skill for real-world deployment in rubble, forests, or disaster zones. By fusing multiple models, his work dramatically improves a robot’s ability to maintain stability and adapt on the fly, moving beyond rigid assumptions to embrace real-world messiness. Ingersoll’s impact is evident in the growing adoption of his probabilistic methods for robust locomotion, and his research continues to push the boundaries of autonomous mobility, making him a key figure in the next generation of field robotics.
Research Focus
Key Achievements
Top Papers
- 1Contact Model Fusion for Event-Based Locomotion in Unstructured Terrains177 citations · 2018