Results 61 to 70 of about 7,130 (165)

Path Planning for Autonomous Mobile Robots: A Review. [PDF]

Sensors (Basel), 2021
Sánchez-Ibáñez JR, Pérez-Del-Pulgar CJ, García-Cerezo A.   +2 more
europepmc   +1 more source

Power-Efficient Autonomous Mobile Robots

13 pages, 16 ...
Liu, Liangkai, Shi, Weisong, Shin, Kang G.   +2 more
openaire   +2 more sources

Generative Models, Attention Mechanisms, and Adaptive Methods for Robot Navigation in Complex Environments—A Survey

IEEE Access
Autonomous mobile robots, equipped with multiple sensors, have been traditionally used to perform search, rescue and other tasks. A number of new scenarios for application of mobile robots have emerged in the last decade.
Harinath Sridharan, Nambala Ramsai, Bhaskar Vundurthy   +2 more
doaj   +1 more source

A Reconfigurable Visual-Inertial Odometry Accelerated Core with High Area and Energy Efficiency for Autonomous Mobile Robots. [PDF]

Sensors (Basel), 2022
Tan Y, Sun M, Deng H, Wu H, Zhou M, Chen Y, Yu Z, Zeng Q, Li P, Chen L, An F.   +10 more
europepmc   +1 more source

Predictive Monitoring System for Autonomous Mobile Robots Battery Management Using the Industrial Internet of Things Technology. [PDF]

Materials (Basel), 2022
Krot K, Iskierka G, Poskart B, Gola A.
europepmc   +1 more source

Semantic-Structure-Aware Multi-Level Information Fusion for Robust Global Orientation Optimization of Autonomous Mobile Robots. [PDF]

Sensors (Basel), 2023
Xiang G, Dian S, Zhao N, Wang G.
europepmc   +1 more source

Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization. [PDF]

PLoS One, 2022
Thammachantuek I, Ketcham M.
europepmc   +1 more source

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR's) Operating Environment-A Case Study. [PDF]

Sensors (Basel), 2021
Stączek P, Pizoń J, Danilczuk W, Gola A.   +3 more
europepmc   +1 more source

Lernmethoden für autonome mobile Roboter

, 2005
The dissertation describes learning algorithms for autonomous mobile robots. Different learning methods are applied to various levels of complexity and abstraction of the robot in order to enhance its behaviour and to accelerate the development of the whole system.
openaire   +1 more source

Nonlinear Predictive Motion Control for Autonomous Mobile Robots Considering Active Fault-Tolerant Control and Regenerative Braking. [PDF]

Sensors (Basel), 2022
Hang P, Lou B, Lv C.
europepmc   +1 more source