Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …

In public spaces shared with humans, ensuring multi-robot systems navigate without
collisions while respecting social norms is challenging, particularly with limited …

Seamless human-robot manipulation in close proximity relies on accurate forecasts of
human motion. While there has been significant progress in learning forecast models at …

Developing robotic technologies for use in human society requires ensuring the safety of
robots' navigation behaviors while adhering to pedestrians' expectations and social norms …

Abstract Stochastic Human Motion Prediction (HMP) aims to predict multiple possible future
human pose sequences from observed ones. Most prior works learn motion distributions …

Reinforcement Learning (RL) has enabled social robots to generate trajectories without
human-designed rules or interventions, which makes it more effective than hard-coded …

Safe, socially compliant, and efficient navigation of low-speed autonomous vehicles (AVs) in
pedestrian-rich environments necessitates considering pedestrians' future positions and …

Abstract Target-Driven Semantic Navigation (TDSN) shows great potential to be applied in
intelligent domestic assistants supporting humans with daily activities. Although numerous …

This article presents a family of Stochastic Cartographic Occupancy Prediction Engines
(SCOPEs) that enable mobile robots to predict the future states of complex dynamic …

Stochastic Human Motion Prediction (HMP) aims to predict multiple possible upcoming pose
sequences based on past human motion trajectories. Although previous approaches have …