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SUMMARY:Sustainable and Trustworthy Edge AI for Robotics - Workshop at HiPEAC 2026
DESCRIPTION:Edge AI and robotics are increasingly integrated in real-world systems that demand low-latency inference\, efficient computation\, and robust autonomy. However\, deploying AI at the edge brings unique challenges\, including limited computational resources\, evolving regulatory constraints\, and the need for trustworthy\, safe\, and explainable models \n\n\n\nAs Europe advances toward sovereign\, human-centric AI systems\, new approaches are required to ensure that intelligent agents operating at the edge remain reliable\, sustainable\, and aligned with ethical and legal frameworks such as the AI Act. \nThis workshop brings together researchers from Edge AI\, embedded learning\, and robotics to explore the intersection of technical design and responsible deployment. It focuses on architectures and methods that enable privacy-preserving\, bias-aware\, and energy-efficient AI at the edge\, while ensuring adaptability and safety in robotic applications. \nThe event is jointly organized by four EU-funded Networks of Excellence (NoEs) – dAIEDGE\, euROBIN\, ELIAS\, and ENFIELD – and aims to foster collaboration across these initiatives and the broader HiPEAC community. \nMore information can also be found here. \n\n\n\n\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Workshop Structure\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Invited Keynote Talks\n						\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Paper Presentations: peer-reviewed contribution from academia and industry\n						\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Panel Discussion: addressing challenges and future directions in Edge AI for Robotics\n						\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Programme Coming Soon\n			\n				\n				\n				\n				\n				Important Dates\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Paper submission deadline \n						December 15\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Notification to authors\n						December 23\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Workshop date\n						January 28\, 2026 \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Call for Papers (CfP)\n\nWe invite submissions on (but not limited to) the following topics: \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nArchitectures and Frameworks for Edge AI\n\n\n\n\nDistributed and hierarchical AI architectures for robotic systems\nEdge–cloud continuum design and orchestration\nLightweight neural networks and model compression for embedded devices\nHardware-aware AI acceleration (FPGA\, RISC-V\, neuromorphic\, etc.)\nReal-time inference and scheduling for autonomous robots\n\nTrustworthy and Explainable Edge Intelligence\n\nExplainable and interpretable AI for robotic decision-making\nUncertainty estimation and safety assurance for edge perception and control\nRobustness against adversarial conditions and sensor noise\nVerification\, validation\, and certification of AI components at the edge\nCompliance with EU regulatory frameworks (e.g.\, AI Act\, Ethics Guidelines)\n\nSustainable and Energy-Efficient AI\n\nLow-power AI computation and green optimization techniques\nEnergy-aware learning and adaptive workloads for embedded systems\nSustainable lifecycle management of AI models and hardware\nMetrics and benchmarks for energy efficiency in edge robotics\n\n\n\n			\n				More information\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\nLearning and Adaptation at the Edge\n\n\nContinual\, federated\, and transfer learning for robotics\nOn-device and online learning strategies\nAdaptive multi-modal perception for dynamic environments\nCollaborative intelligence among distributed robotic agents\n\nApplications and Use Cases\n\nEdge-enabled robotics for manufacturing\, logistics\, healthcare\, and agriculture\nHuman–robot interaction and shared autonomy\nSwarm and multi-robot coordination using distributed intelligence\nTrustworthy AI for inspection\, maintenance\, and environmental monitoring\n\nCross-Cutting Themes\n\nOpen datasets\, benchmarks\, and reproducible research for edge robotics\nSecurity\, privacy\, and data governance in edge–robotic ecosystems\nIntegration of large or foundation models at the edge\nSocio-technical\, ethical\, and legal dimensions of autonomous systems\n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nSubmissions\n\n\nPapers will be reviewed by the workshop’s technical program committee according to criteria regarding a submission’s quality\, relevance to the workshop’s topics\, and\, foremost\, its potential to spark discussions about directions\, insights\, and solutions on the topics mentioned above. Research papers\, case studies\, position papers and work-in-progress are all welcome. Papers should be in double column IEEE format of between 4 and 8 pages including references. Papers should be uploaded as PDF and not anonymized. At least one of the authors must register at the conference and attend the workshop to present the paper if it is accepted. Please note that there will be no proceedings. Authors will retain all rights to submit the work elsewhere. With the explicit permission of the authors\, accepted papers will be posted on the workshop website prior to the event. \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n\n Click to access the submission site \n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Organisers\nCecilia Zanazzo\, Università di Trento (UNITN); Georgios Kavallieratos\, Norwegian University of Science and Technology (NTNU); Lydia Belkadi\, KU Leuven (KUL); Mohamed Selim\, German Research Center for Artificial Intelligence (DFKI); Rebecca Schedl-Warpup\, German Aerospace Center (DLR). \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\nAbout HiPEAC 2026\nThe HiPEAC conference is the premier European forum for experts in computer architecture\, programming models\, compilers and operating systems for general-purpose\, embedded and cyber-physical systems. Areas of focus and integration include safety-critical dependencies\, cybersecurity\, energy efficiency and machine learning. The HiPEAC 2026 conference will take place in Kraków\, Poland. Associated workshops\, tutorials\, special sessions\, several large poster session and an industrial exhibition will run in parallel with the conference.\n\n\n\n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\n\n    \n\n        \n        \n            Event Details\n            Event: HiPEAC 2026\n            Workshop: Sustainable and Trustworthy Edge AI for Robotics\n            Organisers: dAIEDGE\, euROBIN\, ELIAS\, ENFIELD\n\n            Dates\n            Paper Submission: 15 December 2025\n            Notification: 23 December 2025\n            Workshop Day: 28 January 2026\n\n            Event Website\n            Visit HiPEAC 2026 Website\n        \n\n        \n        \n            Venue\n            ICE Kraków\n            Marii Konopnickiej 17\, Kraków\, Poland\n\n            \n                \n            \n        \n\n    \n\n    \n        © 2025–2026 HiPEAC 2026 & ELIAS Project. All rights reserved.
URL:https://elias-ai.eu/event/workshop-at-hipeac-2026/
LOCATION:ICE Kraków\, Marii Konopnickiej 17\, street\, Kraków\, Poland
CATEGORIES:Workshops
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