Navistar: Socially aware robot navigation with hybrid spatio-temporal graph transformer and preference learning
Developing robotic technologies for use in human society requires ensuring the safety of
robots' navigation behaviors while adhering to pedestrians' expectations and social norms …
robots' navigation behaviors while adhering to pedestrians' expectations and social norms …
Multi-robot cooperative socially-aware navigation using multi-agent reinforcement learning
In public spaces shared with humans, ensuring multi-robot systems navigate without
collisions while respecting social norms is challenging, particularly with limited …
collisions while respecting social norms is challenging, particularly with limited …
Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset
Humans are well-adept at navigating public spaces shared with others, where current
autonomous mobile robots still struggle: while safely and efficiently reaching their goals …
autonomous mobile robots still struggle: while safely and efficiently reaching their goals …
Learning world transition model for socially aware robot navigation
Moving in dynamic pedestrian environments is one of the important requirements for
autonomous mobile robots. We present a model-based reinforcement learning approach for …
autonomous mobile robots. We present a model-based reinforcement learning approach for …
Socialgym 2.0: Simulator for multi-agent social robot navigation in shared human spaces
We present SocialGym 2, a multi-agent navigation simulator for social robot research. Our
simulator models multiple autonomous agents, replicating real-world dynamics in complex …
simulator models multiple autonomous agents, replicating real-world dynamics in complex …
[HTML][HTML] Crowd-aware mobile robot navigation based on improved decentralized structured rnn via deep reinforcement learning
Y Zhang, Z Feng - Sensors, 2023 - mdpi.com
Efficient navigation in a socially compliant manner is an important and challenging task for
robots working in dynamic dense crowd environments. With the development of artificial …
robots working in dynamic dense crowd environments. With the development of artificial …
Learning social navigation from demonstrations with conditional neural processes
Y Yildirim, E Ugur - Interaction Studies, 2022 - jbe-platform.com
Sociability is essential for modern robots to increase their acceptability in human
environments. Traditional techniques use manually engineered utility functions inspired by …
environments. Traditional techniques use manually engineered utility functions inspired by …
Learning a group-aware policy for robot navigation
Human-aware robot navigation promises a range of applications in which mobile robots
bring versatile assistance to people in common human environments. While prior research …
bring versatile assistance to people in common human environments. While prior research …
Learning to socially navigate in pedestrian-rich environments with interaction capacity
Existing navigation policies for autonomous robots tend to focus on collision avoidance
while ignoring human-robot interactions in social life. For instance, robots can pass along …
while ignoring human-robot interactions in social life. For instance, robots can pass along …
Socialgym: A framework for benchmarking social robot navigation
Robots moving safely and in a socially compliant manner in dynamic human environments
is an essential benchmark for long-term robot autonomy. However, it is not feasible to learn …
is an essential benchmark for long-term robot autonomy. However, it is not feasible to learn …