Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review

L Wijayathunga, A Rassau, D Chai - Applied Sciences, 2023 - mdpi.com
The capabilities of autonomous mobile robotic systems have been steadily improving due to
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

H Karnan, A Nair, X **ao, G Warnell… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
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 …

A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions

R Zhao, Y Li, Y Fan, F Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Lightweight imitation learning for real-time cooperative service migration

Z Ning, H Chen, ECH Ngai, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Toward wheeled mobility on vertically challenging terrain: Platforms, datasets, and algorithms

A Datar, C Pan, M Nazeri, X **ao - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
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 …

Error-aware imitation learning from teleoperation data for mobile manipulation

J Wong, A Tung, A Kurenkov… - … on Robot Learning, 2022 - proceedings.mlr.press
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 …

Appl: Adaptive planner parameter learning

X **ao, Z Wang, Z Xu, B Liu, G Warnell… - Robotics and …, 2022 - Elsevier
While current autonomous navigation systems allow robots to successfully drive themselves
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

A Datar, C Pan, X **ao - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
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 …

Autonomous ground navigation in highly constrained spaces: Lessons learned from the benchmark autonomous robot navigation challenge at icra 2022 [competitions …

X **ao, Z Xu, Z Wang, Y Song, G Warnell… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022
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

DM Nguyen, M Nazeri, A Payandeh… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
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 …