Rishemjit Kaur
Papers
1
Total Citations
24
H-Index
1
About
Rishemjit Kaur is a leading researcher in mobile robot olfaction and multiagent systems, with a focus on odor source localization (OSL) under real-world constraints. Her seminal work, "Consensus-Based Odor Source Localization by Multiagent Systems Under Resource Constraints" (2019, 24 citations), addresses a critical challenge in the field: enabling networked robots with limited computing power, bandwidth, and energy to collaboratively locate odor sources. By developing consensus-based algorithms, Kaur demonstrated how distributed agents can achieve efficient OSL without overwhelming their constrained hardware, bridging the gap between theoretical multiagent coordination and practical deployment in hazardous environments like chemical spills or search-and-rescue operations. Her contributions have advanced the understanding of resource-aware robotics, influencing subsequent designs for low-power, autonomous swarms. Kaur’s research is notable for its interdisciplinary impact, merging control theory, sensor networks, and environmental monitoring. As a rising authority in this niche, her work continues to inspire students and researchers exploring the frontiers of bio-inspired robotics and decentralized intelligence.
Research Focus
Key Achievements
Top Papers
- 1