[CfP] RSS NeuRoSys 2026 (Deadline Extended)
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Andreas Ziegler
Jun 7, 2026, 5:31:15 PM (3 days ago) Jun 7
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CfP: Workshop on Neuromorphic Robotic Systems (NeuRoSys), at the 22nd Robotics: Science and System Conference (RSS)
Website: https://sites.google.com/view/neurosys2026/
Submissions: https://openreview.net/group?id=roboticsfoundation.org/RSS/2026/Workshop/NeuRoSys
Papers Accepted at RSS / other relevant venues can also be submitted via this link: https://forms.gle/XYQEWiEcpwu1bCjm7
Paper Deadline (Extended): 18 June 2026, 11:59PM AoE
Workshop Date: 13 July 2026
Location: Sydney, Australia
—————————————————————————————————————————————————————————
How can a robot achieve closed-loop autonomy and agile performance in real-world settings?
RSS NeuRoSys 2026 explores the direct integration of neuromorphic sensing, navigation, planning, and control hardware and software pipelines onto physical robotic platforms. The workshop brings together researchers to discuss experimental advances in asynchronous data algorithms, hybrid classical-neuromorphic perception systems, and benchmarks against conventional methods to enable robust control, agile locomotion under power constraints, and high-speed manipulation under uncertainty.
NeuRoSys 2026 is non-archival and we welcome work that investigates how neuromorphic architectures and hardware-software integration can improve the energy efficiency, latency, robustness, safety, and closed-loop autonomy of physical robot policies:
Direct hardware-in-the-loop integration of neuromorphic sensors (event cameras, silicon cochleas, tactile arrays)
Novel algorithms leveraging asynchronous, sparse data for real-time planning and prediction
Hybrid perception systems combining classical techniques with neuromorphic sensing
Bio-inspired neural architectures for task-level reasoning and long-horizon planning
Closed-loop neuromorphic control pipelines for agile locomotion under power constraints
High-speed, low-latency manipulation in unconstrained or dynamic settings
Perception and control under uncertainty, severe noise, or rapidly changing lighting conditions
Benchmarks, comparative studies, and quantitative evaluations between neuromorphic and conventional methods
Online learning, edge adaptation, and low-power deployment strategies on neuromorphic processors
Experimental advances and physical demonstrations driving technology onto next-generation robotic platforms
Visit our website (https://sites.google.com/view/neurosys2026) for more detailed discussion and to see our amazing speaker list!
Please also share this announcement with your audience!
Best Regards,
RSS 2026 NeuRoSys Workshop Chairs
Website: https://sites.google.com/view/neurosys2026/
Submissions: https://openreview.net/group?id=roboticsfoundation.org/RSS/2026/Workshop/NeuRoSys
Papers Accepted at RSS / other relevant venues can also be submitted via this link: https://forms.gle/XYQEWiEcpwu1bCjm7
Paper Deadline (Extended): 18 June 2026, 11:59PM AoE
Workshop Date: 13 July 2026
Location: Sydney, Australia
—————————————————————————————————————————————————————————
How can a robot achieve closed-loop autonomy and agile performance in real-world settings?
RSS NeuRoSys 2026 explores the direct integration of neuromorphic sensing, navigation, planning, and control hardware and software pipelines onto physical robotic platforms. The workshop brings together researchers to discuss experimental advances in asynchronous data algorithms, hybrid classical-neuromorphic perception systems, and benchmarks against conventional methods to enable robust control, agile locomotion under power constraints, and high-speed manipulation under uncertainty.
NeuRoSys 2026 is non-archival and we welcome work that investigates how neuromorphic architectures and hardware-software integration can improve the energy efficiency, latency, robustness, safety, and closed-loop autonomy of physical robot policies:
Direct hardware-in-the-loop integration of neuromorphic sensors (event cameras, silicon cochleas, tactile arrays)
Novel algorithms leveraging asynchronous, sparse data for real-time planning and prediction
Hybrid perception systems combining classical techniques with neuromorphic sensing
Bio-inspired neural architectures for task-level reasoning and long-horizon planning
Closed-loop neuromorphic control pipelines for agile locomotion under power constraints
High-speed, low-latency manipulation in unconstrained or dynamic settings
Perception and control under uncertainty, severe noise, or rapidly changing lighting conditions
Benchmarks, comparative studies, and quantitative evaluations between neuromorphic and conventional methods
Online learning, edge adaptation, and low-power deployment strategies on neuromorphic processors
Experimental advances and physical demonstrations driving technology onto next-generation robotic platforms
Visit our website (https://sites.google.com/view/neurosys2026) for more detailed discussion and to see our amazing speaker list!
Please also share this announcement with your audience!
Best Regards,
RSS 2026 NeuRoSys Workshop Chairs
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