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A survey on socially aware robot navigation: Taxonomy and future challenges
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 …
assistive robots. The research is further fueled by a need for socially aware navigation skills …
Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation
Social navigation is the capability of an autonomous agent, such as a robot, to navigate in a
“socially compliant” manner in the presence of other intelligent agents such as humans. With …
“socially compliant” manner in the presence of other intelligent agents such as humans. With …
Learning model predictive controllers with real-time attention for real-world navigation
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 …
when deployed in the wild, eg, in cluttered home environments or in human-occupied public …
Toward wheeled mobility on vertically challenging terrain: Platforms, datasets, and algorithms
Most conventional wheeled robots can only move in flat environments and simply divide
their planar workspaces into free spaces and obstacles. Deeming obstacles as non …
their planar workspaces into free spaces and obstacles. Deeming obstacles as non …
A survey of ad hoc teamwork research
Ad hoc teamwork is the research problem of designing agents that can collaborate with new
teammates without prior coordination. This survey makes a two-fold contribution: First, it …
teammates without prior coordination. This survey makes a two-fold contribution: First, it …
Learning to model and plan for wheeled mobility on vertically challenging terrain
Most autonomous navigation systems assume wheeled robots are rigid bodies and their 2D
planar workspaces can be divided into free spaces and obstacles. However, recent wheeled …
planar workspaces can be divided into free spaces and obstacles. However, recent wheeled …
Autonomous ground navigation in highly constrained spaces: Lessons learned from the benchmark autonomous robot navigation challenge at icra 2022 [competitions …
The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022
IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA …
IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA …
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 …
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in
While the workspace of traditional ground vehicles is usually assumed to be in a 2D plane,
ie,, such an assumption may not hold when they drive at high speeds on unstructured off …
ie,, such an assumption may not hold when they drive at high speeds on unstructured off …
Terrain-attentive learning for efficient 6-DoF kinodynamic modeling on vertically challenging terrain
Wheeled robots have recently demonstrated superior mechanical capability to traverse
vertically challenging terrain (eg, extremely rugged boulders comparable in size to the …
vertically challenging terrain (eg, extremely rugged boulders comparable in size to the …