Papers
8
Total Citations
39
H-Index
4
About
Jacques Saraydaryan is a leading researcher in socially-aware robotics, focusing on how autonomous systems can navigate and operate gracefully in human-centered environments. His core contributions lie at the intersection of **Navigation Among Movable Obstacles (NAMO)** and **human-aware path planning**, where he addresses the critical challenge of robots moving not just efficiently, but socially appropriately. Saraydaryan pioneered the concept of a "Social Placement Cost" for NAMO algorithms, ensuring that when a robot displaces an object, it leaves the space in a culturally and socially acceptable state—a nuance often overlooked in traditional navigation. His work on mapping the "likelihood of encountering humans" has been instrumental in enabling robots to anticipate and integrate human flows into their path planning, a key step toward safe cohabitation in crowded settings. With over 10 citations for his foundational NAMO paper and 8 for his human-flow mapping work, his impact is clear. Notably, he has applied these principles to the demanding RoboCup@Home challenge, demonstrating real-world viability, and has extended his coordination strategies to multi-robot systems, tackling conflicts and deadlocks in cluttered, modifiable spaces. Saraydaryan’s research is essential reading for anyone building robots that must not just move, but belong.
Research Focus
Key Achievements
Top Papers
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- 4Socially Compliant Navigation in dense crowds4 citations · 2019
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- 7A bio-inspired living lab as a robot exoskeleton2 citations · 2015
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