Daphna Raz
Papers
1
Total Citations
3
H-Index
1
About
Daphna Raz is a robotics researcher whose work centers on the critical intersection of safety and real-time performance in autonomous manipulation. Her primary research area is the development of certifiably safe motion planning algorithms for robotic arms operating in unstructured, human-adjacent environments. Raz’s major contribution lies in addressing the fundamental trade-off between computational speed and safety guarantees. In her most-cited work, "Reachable Sets for Safe, Real-Time Manipulator Trajectory Design" (2020), she introduced a novel framework that leverages reachability analysis to certify the safety of trajectories generated in real time. This approach enables robots to rapidly plan motions while providing formal guarantees that they will avoid collisions, a crucial capability for applications like collaborative manufacturing and domestic assistance. With 3 citations, this paper has laid important groundwork for a new generation of safety-critical control systems. Raz’s research is particularly notable for its practical focus, aiming to bridge the gap between theoretical safety verification and the real-time demands of physical robots, making her a rising voice in the field of safe autonomy.
Research Focus
Key Achievements
Top Papers
- 1Reachable Sets for Safe, Real-Time Manipulator Trajectory Design3 citations · 2020