Results 11 to 20 of about 5,021,226 (308)
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems [PDF]
Multi-robot simultaneous localization and mapping (SLAM) is a crucial capability to obtain timely situational awareness over large areas. Real-world applications demand multi-robot SLAM systems to be robust to perceptual aliasing and to operate under ...
Yulun Tian +5 more
semanticscholar +1 more source
Heterogeneous Multi-Robot Reinforcement Learning [PDF]
Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL) frameworks lack the ability to explicitly accommodate policy heterogeneity,
Matteo Bettini +2 more
semanticscholar +1 more source
Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards [PDF]
The challenges to solving the collision avoidance problem lie in adaptively choosing optimal robot velocities in complex scenarios full of interactive obstacles.
Ruihua Han +6 more
semanticscholar +1 more source
Combining Task and Motion Planning: Challenges and Guidelines
Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed.
Masoumeh Mansouri +2 more
doaj +1 more source
Multi-robot team response to a multi-robot opponent team [PDF]
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ranging from low-level robot motion control, through to planning, opponent modeling, and multiagent learning.
James Bruce +3 more
openaire +1 more source
We study multi-robot caravanning, which is loosely defined as the problem of a heterogeneous team of robots visiting specific areas of an environment (waypoints) as a group. After formally defining this problem, we propose a novel solution that requires minimal communication and scales with the number of waypoints and robots.
Denny, Jory +7 more
openaire +1 more source
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration [PDF]
We consider the problem of cooperative exploration, where multiple robots need to cooperatively explore an unknown region as fast as possible. Multi-agent reinforcement learning (MARL) has recently become a trending paradigm for solving this challenge ...
Chao Yu +10 more
semanticscholar +1 more source
Implementation consensus algorithm and leader-follower of multi-robot system formation
Robot technology has recently been applied to many applications to help human activities. Mobile Robot is one of the most flexible robot technology. This research uses a mobile robot designed using an omnidirectional wheel for the movement mechanism ...
Noval Lilansa +3 more
doaj +1 more source
A Critical Review of Communications in Multi-robot Systems [PDF]
This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to ...
Jennifer Gielis +2 more
semanticscholar +1 more source
A strategy for multi-robot navigation [PDF]
The paper addresses the problem of trajectory regulation of driftless systems such that a stabilizing control input is assumed exists. The perturbed trajectory depends on a regulation control-input which must be designed such that the system's stability is preserved and some undesirable sets belonging to navigation area must be avoided.
Beji, Lotfi +2 more
openaire +2 more sources

