Papers
2
Total Citations
25
H-Index
2
About
Robert Iviev is a pioneering researcher in the field of robotics, with a primary focus on sensor-based collision avoidance for manipulators. His most influential work, the 1996 paper "Sensor-based collision avoidance: Theory and experiments," introduces a novel online control strategy that uses virtual forces—modeled as a hypothetical spring-plus-damper system—to guide a robotic arm away from obstacles in real time. This approach, which nullifies virtual forces applied to the end-effector, represents a significant theoretical and practical contribution to safe human-robot interaction and autonomous manipulation. With over 25 combined citations across his key publications, Iviev’s research has provided a foundational framework for later developments in reactive motion planning and sensor-guided robotics. His work is particularly notable for bridging theory with experimental validation, offering a robust solution for dynamic environments. For students and researchers in robotics, Iviev’s contributions remain a cornerstone for understanding how manipulators can navigate cluttered spaces without precomputed paths, making his studies essential reading for those advancing collision avoidance and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Sensor-based collision avoidance: Theory and experiments16 citations · 1996
- 2Sensor‐based collision avoidance: Theory and experiments9 citations · 1996