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2001.09199
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A 3D Reactive Navigation Algorithm for Mobile Robots by Using
Tentacle-Based Sampling

A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling

International Conference on Robotic Computing (IRC), 2020

24 January 2020

Neset Unver Akmandor

ArXiv (abs)PDF HTML

Papers citing "A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling"

2 / 2 papers shown

Deep Reinforcement Learning based Robot Navigation in Dynamic
Environments using Occupancy Values of Motion Primitives

Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion PrimitivesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022

Neset Unver Akmandor

251

15

0

17 Aug 2022

Reactive Navigation Framework for Mobile Robots by Heuristically
Evaluated Pre-sampled Trajectories

Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled TrajectoriesInternational Journal of Robotic Computing (JRC), 2021

Neset Unver Akmandor

181

4

0

17 May 2021

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