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Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …
recent advancements in computer science, engineering, and related disciplines such as …
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 …
A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions
Autonomous driving (AD) endows vehicles with the capability to drive partly or entirely
without human intervention. AD agents generate driving policies based on online perception …
without human intervention. AD agents generate driving policies based on online perception …
Lightweight imitation learning for real-time cooperative service migration
Due to the revolution of communication technology, the rapidly increasing number of mobile
devices in edge networks generates various real-time service requests, requiring a …
devices in edge networks generates various real-time service requests, requiring a …
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 …
Error-aware imitation learning from teleoperation data for mobile manipulation
In mobile manipulation (MM), robots can both navigate within and interact with their
environment and are thus able to complete many more tasks than robots only capable of …
environment and are thus able to complete many more tasks than robots only capable of …
Appl: Adaptive planner parameter learning
While current autonomous navigation systems allow robots to successfully drive themselves
from one point to another in specific environments, they typically require extensive manual …
from one point to another in specific environments, they typically require extensive manual …
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 …