Papers
82
Total Citations
2,235
H-Index
25
About
Joydeep Biswas is a pioneering roboticist whose work sits at the intersection of autonomous mobile robotics, localization, and human-robot interaction. Best known for his contributions to indoor robot navigation, Biswas has tackled fundamental challenges in how robots perceive and move through complex real-world environments. His influential work on depth camera-based localization, including the Fast Sampling Plane Filtering algorithm (341 citations), and WiFi-based autonomous navigation (293 citations) established critical foundations for practical indoor robot deployment. Through the landmark CoBots project — a fleet of collaborative service robots that autonomously navigated multi-floor buildings for over 1,000 kilometers — Biswas demonstrated that long-term robot autonomy is achievable outside laboratory conditions, earning over 150 citations for that work alone. His research philosophy of symbiotic human-robot interaction, where robots leverage human assistance to overcome their own limitations, has shaped how the community thinks about real-world deployment. More recently, Biswas has expanded into socially compliant navigation, contributing large-scale datasets and evaluation frameworks (101 and 59 citations respectively) that are helping standardize progress in social robot navigation — an increasingly critical area as robots enter human-populated spaces.
Research Focus
Key Achievements
Top Papers
- 1Depth camera based indoor mobile robot localization and navigation341 citations · 2012
- 2WiFi localization and navigation for autonomous indoor mobile robots293 citations · 2010
- 3CoBots: robust symbiotic autonomous mobile service robots150 citations · 2015
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- 6Localization and navigation of the CoBots over long-term deployments75 citations · 2013
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- 8Principles and Guidelines for Evaluating Social Robot Navigation Algorithms59 citations · 2024
- 9CoBots: Collaborative robots servicing multi-floor buildings59 citations · 2012
- 10Fast human detection for indoor mobile robots using depth images45 citations · 2013