Predicting travel time from path characteristics for wheeled robot navigation

P Regier, M Missura… - … European Conference on …, 2017 - ieeexplore.ieee.org
Modern approaches to mobile robot navigation typically employ a two-tiered system where
first a geometric path is computed in a potentially obstacle-laden environment, and then a …

Where and when: event-based spatiotemporal trajectory prediction from the iCub's point-of-view

M Monforte, A Arriandiaga, A Glover… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Fast, non-linear trajectories have been shown to be more accurately visually measured, and
hence predicted, when sampled spatially (that is when the target position changes) rather …

CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots

J le Fevre Sejersen, E Kayacan - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
This study presents the conflict-aware multi-agent estimated time of arrival (CAMETA)
framework, a novel approach for predicting the arrival times of multiple agents in …

Local path planning of mobile robot based on long short-term memory neural network

N Guo, C Li, D Wang, Y Song, G Liu, T Gao - Automatic Control and …, 2021 - Springer
In order to solve the local path planning problem of mobile robot in the unknown
environment, more complex control algorithms and solutions are needed for various special …

Map generation and path planning for autonomous mobile robot in static environments using GA

KU Gunasekaran, E Krell, A Sheta… - 2018 8th International …, 2018 - ieeexplore.ieee.org
In this paper, we present our initial idea of developing an integrated an autonomous mobile
robot system that can explore an unknown environment. The proposed system consists of …

An OMNeT++ based framework for mobility-aware routing in mobile robotic networks

B Sliwa, C Ide, C Wietfeld - arXiv preprint arXiv:1609.05351, 2016 - arxiv.org
In this paper, we propose a cross-layer extension for the INETMANET framework of
OMNeT++, which utilizes mobility control knowledge to enhance the forwarding of routing …

A virtual end-to-end learning system for robot navigation based on temporal dependencies

Y Zhang, R Ge, L Lyu, J Zhang, C Lyu, X Yang - IEEE Access, 2020 - ieeexplore.ieee.org
Steering a wheeled mobile robot through a variety of environments is a complex task. To
achieve this, many researchers have tried to convert front-facing camera data stream to the …

MPC Based Path Planning for Wheeled Mobile Robots in Environments with Varying Slip

HN MG, R Antony - Proceedings of the 2021 5th International …, 2021 - dl.acm.org
The paper aims to address the challenges involved in the control design of Wheeled Mobile
Robots (WMR) under the conditions of slip. The work is done as part of investigating the …

Minimalistic neural network architectures for safe navigation of small mobile robots

X Kan, K Karydis - … Symposium on Safety, Security, and Rescue …, 2018 - ieeexplore.ieee.org
Small mobile robots can be useful in dangerous and high-risk applications such as disaster
response. To this end, small robots must be capable of autonomous navigation. One way to …

Discrete motion planner based on deep recurrent neural network for mobile robot obstacle avoidance in dead-end environments

S Hoshino, J Sumiyoshi - 2022 IEEE/SICE International …, 2022 - ieeexplore.ieee.org
For autonomous mobile robots, obstacle avoidance is a necessary capability for navigation.
We have thus far proposed a discrete motion planner based on a fully-connected …