Abstract Purpose of Review Current real-world interaction between humans and robots is extremely limited. We present challenges that, if addressed, will enable humans and robots …
We propose a framework for planning in unknown dynamic environments with probabilistic safety guarantees using conformal prediction. Particularly, we design a model predictive …
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social …
N Tsoi, A Xiang, P Yu, SS Sohn… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
We present SEAN 2.0, an open-source system designed to advance social navigation via the training and benchmarking of navigation policies in varied social contexts. A key …
Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, eg, in cluttered home environments or in human-occupied public …
Mobile robots struggle to integrate seamlessly in crowded environments such as pedestrian scenes, often disrupting human activity. One obstacle preventing their smooth integration is …
Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills …
The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA …
J Francis, N Kitamura, F Labelle, X Lu, I Navarro… - Journal of Artificial …, 2022 - jair.org
Recent advances in the areas of multimodal machine learning and artificial intelligence (AI) have led to the development of challenging tasks at the intersection of Computer Vision …