Zobrazeno 1 - 10
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pro vyhledávání: '"Tarapore, Danesh"'
Robot swarms offer the potential to bring several advantages to the real-world applications but deploying them presents challenges in ensuring feasibility across diverse environments. Assessing the feasibility of new tasks for swarms is crucial to en
Externí odkaz:
http://arxiv.org/abs/2405.07799
Autor:
Kelly, Thomas G., Soorati, Mohammad Divband, Zauner, Klaus-Peter, Ramchurn, Sarvapali D., Tarapore, Danesh
One of the main tasks for autonomous robot swarms is to collectively decide on the best available option. Achieving that requires a high quality communication between the agents that may not be always available in a real world environment. In this pa
Externí odkaz:
http://arxiv.org/abs/2207.09564
Purpose of review: This paper reviews opportunities and challenges for decentralised control, change-detection, and learning in the context of resilient robot teams. Recent findings: Exogenous fault detection methods can provide a generic detection o
Externí odkaz:
http://arxiv.org/abs/2204.10063
Autor:
Bossens, David M., Tarapore, Danesh
Quality-Diversity (QD) algorithms evolve behaviourally diverse and high-performing solutions. To illuminate the elite solutions for a space of behaviours, QD algorithms require the definition of a suitable behaviour space. If the behaviour space is h
Externí odkaz:
http://arxiv.org/abs/2109.03918
The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task allocation problem in which few agents have to perform many tasks, each with its deadline and workload. To maximize the number of completed tasks, the
Externí odkaz:
http://arxiv.org/abs/2106.00379
Autor:
Bossens, David M., Tarapore, Danesh
In Quality-Diversity (QD) algorithms, which evolve a behaviourally diverse archive of high-performing solutions, the behaviour space is a difficult design choice that should be tailored to the target application. In QD meta-evolution, one evolves a p
Externí odkaz:
http://arxiv.org/abs/2105.10317
In task allocation for real-time domains, such as disaster response, a limited number of agents is deployed across a large area to carry out numerous tasks, each with its prerequisites, profit, time window and workload. To maximize profits while mini
Externí odkaz:
http://arxiv.org/abs/2105.00451
Autor:
Bossens, David M., Tarapore, Danesh
Rapid performance recovery from unforeseen environmental perturbations remains a grand challenge in swarm robotics. To solve this challenge, we investigate a behaviour adaptation approach, where one searches an archive of controllers for potential re
Externí odkaz:
http://arxiv.org/abs/2012.11444
Robot swarms to date are not prepared for autonomous navigation such as path planning and obstacle detection in forest floor, unable to achieve low-cost. The development of depth sensing and embedded computing hardware paves the way for swarm of terr
Externí odkaz:
http://arxiv.org/abs/2012.02907
The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task scheduling problem where the tasks are spatially distributed, with deadlines and workloads, and the number of agents is typically much smaller than th
Externí odkaz:
http://arxiv.org/abs/2003.13806