Papers
26
Total Citations
464
H-Index
10
About
Aniket Bera is a leading researcher at the intersection of social robotics, autonomous navigation, and human-robot interaction. His work focuses on developing algorithms that enable robots and autonomous vehicles to navigate safely and naturally among humans by understanding and predicting pedestrian behavior. Bera’s major contributions include the PORCA system (207 citations), a pedestrian motion prediction model that accounts for both global navigation intentions and local interactions, which has been instrumental in advancing autonomous driving in crowded environments. He has also pioneered emotion-aware navigation, creating algorithms that estimate pedestrians’ emotional states from faces and trajectories to guide socially-assistive robots. His work on robot entitativity explores how robots can become “socially invisible” by moving in ways that minimize negative human reactions. Bera co-authored the widely-cited “Principles and Guidelines for Evaluating Social Robot Navigation Algorithms” (2024, 59 citations), establishing a framework for fair benchmarking in the field. His research has been recognized for its impact on socially-aware navigation, with applications ranging from autonomous vehicles to assistive robotics in crowded public spaces.
Research Focus
Key Achievements
Top Papers
- 1PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians207 citations · 2018
- 2Principles and Guidelines for Evaluating Social Robot Navigation Algorithms59 citations · 2024
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- 4AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning19 citations · 2023
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- 6Principles and Guidelines for Evaluating Social Robot Navigation Algorithms15 citations · 2023
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- 9PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians13 citations · 2018
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