James Usevitch
Papers
3
Total Citations
56
H-Index
2
About
James Usevitch is a leading researcher in safe and resilient control for autonomous and robotic systems. His work primarily focuses on control barrier functions (CBFs) and multirobot network resilience. Usevitch’s major contributions include advancing CBF theory to address practical challenges in safe control synthesis, as detailed in his highly cited 2024 paper (43 citations), which tackles safety constraints with time-varying dynamics and input limits. He also developed novel methods for resilient trajectory propagation in multirobot networks, enabling systems to maintain accurate communication despite faulty or adversarial robots (2021, 11 citations). His tutorial paper (2023) further consolidates these advances, making complex safety concepts accessible to the robotics community. With a growing citation impact, Usevitch’s work is pivotal for ensuring safety and reliability in autonomous systems, from self-driving cars to drone swarms. His achievements highlight a commitment to bridging theoretical rigor with real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Resilient Trajectory Propagation in Multirobot Networks11 citations · 2021
- 3