Learning to model and plan for wheeled mobility on vertically challenging terrain

A Datar, C Pan, X ** in unfamiliar environments through online matching of learned representations
S Jamieson, K Fathian, K Khosoussi… - … on robotics and …, 2021 - ieeexplore.ieee.org
We present a solution to multi-robot distributed semantic map** of novel and unfamiliar
environments. Most state-of-the-art semantic map** systems are based on supervised …

Approximating the value of collaborative team actions for efficient multiagent navigation in uncertain graphs

M Stadler, J Banfi, N Roy - Proceedings of the International Conference …, 2023 - ojs.aaai.org
For a team of collaborative agents navigating through an unknown environment,
collaborative actions such as sensing the traversability of a route can have a large impact on …

Generating sparse probabilistic graphs for efficient planning in uncertain environments

Y Veys, MS Kurtz, N Roy - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Environments with regions of uncertain traversability can be modeled as roadmaps with
probabilistic edges for efficient planning under uncertainty. We would like to generate …

Waypoint planning networks

AI Toma, HA Jaafar, HY Hsueh, S James… - arxiv preprint arxiv …, 2021 - arxiv.org
With the recent advances in machine learning, path planning algorithms are also evolving;
however, the learned path planning algorithms often have difficulty competing with success …

Do more with less: Single-model, multi-goal architectures for resource-constrained robots

Z Wang, D Threatt, SB Andersson… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Deep learning methods are widely used in robotic applications. By learning from prior
experience, the robot can abstract knowledge of the environment, and use this knowledge to …

Automated vehicles, urban robots and drones: three elements of the automated City

SW Loke, A Rakotonirainy, SW Loke… - The Automated City …, 2021 - Springer
As illustrations of what constitutes the Automated City, this chapter highlights (among many)
three types of technologies:(1) automated vehicles,(2) robots in indoor public spaces and …

Robot Traversability Prediction: Towards Third-Person-View Extension of Walk2Map with Photometric and Physical Constraints

JTY Liang, K Tanaka - 2024 IEEE/RSJ International …, 2024 - ieeexplore.ieee.org
Walk2Map has emerged as a promising data-driven method to generate indoor traversability
maps based solely on pedestrian trajectories, offering great potential for indoor robot …

Efficient decentralized collaborative perception for autonomous vehicles

M Chaveroche - 2021 - theses.hal.science
Recently, we have been witnesses of accidents involving autonomous vehicles and their
lack of sufficient information at the right time. One way to tackle this issue is to benefit from …