Spherical robots for special purposes: a review on current possibilities

M Bujňák, R Pirník, K Rástočný, A Janota, D Nemec… - Sensors, 2022 - mdpi.com
The review discusses the possibilities of different driving mechanisms and sensors of
spherical robots, and a special kind of mobile robots is introduced and discussed. The …

A review on raspberry pi and its robotic applications

SE Mathe, AC Pamarthy… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Mobile robots is one of the most alluring fields and has constantly sparked the attention of
industry, academia and research agencies to carry out advanced research. Microcomputers …

Towards an ultrafast 3D imaging scanning LiDAR system: a review

Z Li, Y Han, L Wu, Z Zang, M Dai, SY Set… - Photonics …, 2024 - opg.optica.org
Light detection and ranging (LiDAR), as a hot imaging technology in both industry and
academia, has undergone rapid innovation and evolution. The current mainstream direction …

Taming event cameras with bio-inspired architecture and algorithm: A case for drone obstacle avoidance

J Xu, D Li, Z Yang, Y Zhao, H Cao, Y Liu… - Proceedings of the 29th …, 2023 - dl.acm.org
Fast and accurate obstacle avoidance is crucial to drone safety. Yet existing on-board
sensor modules such as frame cameras and radars are ill-suited for doing so due to their …

An Automatic Self Shape-Shifting Soft Mobile Robot (A4SMR)

MA Al-Ibadi, FK Al-Assfor, A Al-Ibadi - Robotics, 2022 - mdpi.com
This article proposes a mobile robot that is fully constructed and actuated by utilising a
pneumatic artificial muscle (PAM). Several features are shown in this design including …

LiDar-based Obstacle Avoidance with Autonomous Vehicles: A Comprehensive Review

PY Leong, NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
Research on autonomous vehicles (AV)-self-navigating machines that transport both man
and cargo has proliferated lately. While once limited to industrial or military uses, more …

An adaptive 3d artificial potential field for fail-safe uav navigation

B Lindqvist, J Haluska, C Kanellakis… - … on control and …, 2022 - ieeexplore.ieee.org
This article presents an obstacle avoidance framework for unmanned aerial vehicles
(UAVs), with a focus on providing safe and stable local navigation in critical scenarios. The …

Reinforcement learning for navigation of mobile robot with LiDAR

I Kim, SH Nengroo, D Har - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
This paper presents a technique for navigation of mobile robot with Deep Q-Network (DQN)
combined with Gated Recurrent Unit (GRU). The DQN integrated with the GRU allows action …

RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

S Zhu, GC Ganesan, A Kumar, X Liu - European Conference on Computer …, 2025 - Springer
Abstract 3D sensing is a fundamental task for Autonomous Vehicles. Its deployment often
relies on aligned RGB cameras and LiDAR. Despite meticulous synchronization and …

Design and Implementation of Fuzzy Logic for Obstacle Avoidance in Differential Drive Mobile Robot

RD Puriyanto, AK Mustofa - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Autonomous mobile robots based on wheel drive are widely used in various applications.
The differential drive mobile robot (DDMR) is one type with wheel drive. DDMR uses one …