Results 21 to 30 of about 239,102 (291)
Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
Sensors, 2023 Deep reinforcement learning has produced many success stories in recent years. Some example fields in which these successes have taken place include mathematics, games, health care, and robotics. In this paper, we are especially interested in multi-agent
James Orr, Ayan Dutta
doaj +1 more source
Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision
IEEE Access, 2020 Search and rescue (SAR) operations can take significant advantage from supporting autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and situational assessment, monitoring and surveillance, establishing communication ...
Jorge Pena Queralta +8 more
doaj +1 more source
Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments
Frontiers in Neurorobotics, 2023 Cooperative autonomous exploration is a challenging task for multi-robot systems, which can cover larger areas in a shorter time or path length. Using multiple mobile robots for cooperative exploration of unknown environments can be more efficient than a
Xiangda Yan +3 more
doaj +1 more source
Heuristics and Rescheduling in Prioritised Multi-Robot Path Planning: A Literature Review
Machines, 2023 The benefits of multi-robot systems are substantial, bringing gains in efficiency, quality, and cost, and they are useful in a wide range of environments from warehouse automation, to agriculture and even extend in part to entertainment.
James R. Heselden, Gautham P. Das
doaj +1 more source
Distributed control of multi-robot systems using bifurcating potential fields [PDF]
, 2010 The distributed control of multi-robot systems has been shown to have advantages over conventional single robot systems. These include scalability, flexibility and robustness to failures.
Bennet, Derek J., McInnes, C.R.
core +1 more source
Deep Learning Techniques for Visual SLAM: A Survey
IEEE Access, 2023 Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment ...
Saad Mokssit +3 more
doaj +1 more source
Resilience of multi-robot systems to physical masquerade attacks [PDF]
, 2019 The advent of autonomous mobile multi-robot systems has driven innovation in both the industrial and defense sectors. The integration of such systems in safety-and security-critical applications has raised concern over their resilience to attack. In this
Li, Wenchao +2 more
core +1 more source
Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments
Applied Sciences, 2020 The increasing number of robots around us creates a demand for connecting these robots in order to achieve goal-driven teamwork in heterogeneous multi-robot systems. In this paper, we focus on robot teamwork specifically in dynamic environments.
Kurt Geihs
doaj +1 more source
Fast terminal sliding mode control for a nonlinear multi-agent robot system with disturbance
Systems Science & Control Engineering, 2020 This paper addresses the consensus control problem for a nonlinear multi-agent robot system in the presence of external disturbances. Robot system is one of the most important practical systems in the industry.
Majid Naserian +3 more
doaj +1 more source
IEEE Access, 2023 With the increasing use of robots in industry, the use of multi-robot systems, i.e., systems in which multiple robots work together to perform a single task, has become common.
Tae In Ha, Ji-Hoon Lee, Byung-Kwon Min
doaj +1 more source