Rethinking Robot Coordination When Communication Matters<\/p>\n\n\n\n
Robot coordination is often studied as a motion-planning problem, a distributed decision problem, or a communication problem\u2014depending on which research community is looking at it. Yet as robotic systems scale toward persistent fleets and networked autonomous infrastructures, these viewpoints can no longer remain separate. The ability of robots to move collectively is increasingly determined not only by geometry or optimization, but by how information is obtained, delayed, localized, and trusted across distributed agents.<\/p>\n\n\n\n
This talk revisits robot coordination through several complementary traditions, including weak-information distributed mobile robot algorithms, swarm cooperation, scalable multi-robot path planning, and communication-centric robotic systems. Drawing on representative examples from formal analysis to experimental deployment, I will argue that these successful lines of research still lack explicit coordination models in which communication constraints are treated as first-class algorithmic primitives rather than invisible background assumptions.<\/p>\n\n\n\n
I will discuss why making communication explicit changes not only performance, but also solvability, correctness, and scalability, and I will outline a forward-looking agenda at the intersection of networking, distributed algorithms, and multi-robot systems.<\/p>\n\n\n\n
Prof. Xavier D\u00e9fago,
Head of Dependable Distributed Systems Lab,
Department of Computer Science, School of Computing,
Institute of Science Tokyo, Japan.<\/p>\n\n\n\n
The Future of Robotics in the 6G Era<\/p>\n\n\n\n
6G is envisioned as a transformative communication technology, delivering capabilities that far exceed those of 5G. These advanced features are critical for enabling seamless integration and intelligent coordination across different technical and business domains. For robotics, 6G\u2019s potential impact is profound: it can support large\u2011scale swarm coordination, tele\u2011operation with near\u2011instant responsiveness, and seamless integration of robots into cyber\u2011physical ecosystems such as smart factories, healthcare, and autonomous mobility. Yet, key challenges remain, including ensuring deterministic communication in dynamic wireless environments, safeguarding security and privacy in distributed robotic networks, etc. Potential research directions include developing closed\u2011loop orchestration frameworks powered by Agentic AI for real\u2011time intent translation, designing resilient network slicing tailored to robotic workloads, exploring semantic communication for task\u2011oriented collaboration, and advancing cross\u2011layer optimization to balance performance with sustainability. Together, these efforts will be essential to fully realize the promise of 6G\u2011enabled robotics.
one6G Association is an international non\u2011profit organization that brings together telecom operators, vendors, research institutes, and universities to shape the future of 6G and ensure its alignment with societal and industrial needs. In the field of robotics, one6G has published dedicated white papers analysing how 6G capabilities can enable advanced robotic applications across different industry sectors. Their work highlights the importance of seamless integration between communication, sensing, and native AI, and positions 6G as a key enabler for autonomous robotic systems. By identifying requirements and promoting cross\u2011industry cooperation, one6G is laying the groundwork for standardization and ecosystem development that will allow robotics to thrive in the 6G era. This talk will introduce one6G\u2019s vision for 6G\u2011enabled robotics.<\/p>\n\n\n\n
Dr. Xueli An,
Head of 6G Network Architecture Research Group,
Huawei Technologies D\u00fcsseldorf GmbH,
Munich Research Center, Germany.<\/p>\n\n\n\n
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Keynote 1 Title: Rethinking Robot Coordination When Communication Matters Abstract: Robot coordination is often studied as a motion-planning problem, a distributed decision problem, or a communication problem\u2014depending on which research community is looking at it. Yet as robotic systems scale toward persistent fleets and networked autonomous infrastructures, these viewpoints can no longer remain separate. The […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-120","page","type-page","status-publish","hentry"],"yoast_head":"\n