Results 131 to 140 of about 29,044 (285)

Online Concurrent Multi-Robot Coverage Path Planning

Recently, centralized receding horizon online multi-robot coverage path planning algorithms have shown remarkable scalability in thoroughly exploring large, complex, unknown workspaces with many robots.
Saha, Indranil, Mitra, Ratijit
core  

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Improved Optimization Strategy Based on Region Division for Collaborative Multi-Agent Coverage Path Planning. [PDF]

Sensors (Basel), 2023
Qin Y, Fu L, He D, Liu Z.
europepmc   +1 more source

Autonomous Sea Floor Coverage with Constrained Input Autonomous Underwater Vehicles: Integrated Path Planning and Control

Sensors
Autonomous underwater vehicles (AUVs) tasked with seafloor coverage require a robust integration of path planning and control strategies to operate in adverse real-world environments including obstacles, disturbances, and physical constraints.
Athanasios K. Gkesoulis, Panagiotis Georgakis, George C. Karras, Charalampos P. Bechlioulis   +3 more
doaj   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Full coverage path planning algorithm for MRgFUS therapy. [PDF]

Int J Med Robot, 2022
Antoniou A, Georgiou A, Evripidou N, Damianou C.   +3 more
europepmc   +1 more source

Complete coverage path planning of nuclear radiation field using bio-inspired neural network

Fushe yanjiu yu fushe gongyi xuebao
Path planning for the complete coverage of nuclear radiation fields is necessary to ensure the radiation safety of regional operators in radiation environments. Based on a bio-inspired neural network algorithm, a complete coverage path-planning algorithm
LUO Zhaojin, LIU Chengfeng, JIA Wenbao, SHAN Qing, SHI Chao, ZHANG Jiandong, HEI Daqian, ZHANG Xiaojun, LING Yongsheng   +8 more
doaj   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Coverage Path Planning and Point-of-Interest Detection Using Autonomous Drone Swarms. [PDF]

Sensors (Basel), 2022
Bezas K, Tsoumanis G, Angelis CT, Oikonomou K.   +3 more
europepmc   +1 more source

Energy-Efficient Coverage Path Planning for a Reconfigurable Robot

IEEE Access
Reconfigurable robots have been introduced for many application domains, including area coverage. Energy-efficient complete coverage planning is foremost expected in robots used in coverage applications.
W. K. R. Sachinthana, I. D. Wijegunawardana, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara   +4 more
doaj   +1 more source