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Robotics: Science and Systems — 2026

July 13-17, 2026

University of Technology Sydney
Sydney, Australia

Robotics Autonomous Systems Machine Learning AI

Important Dates

Submission deadline     January 30, 2026
CORE Ranking A*

Robotics: Science and Systems (RSS) is one of the most selective robotics research conferences in the world, distinguished by its single-track format and emphasis on foundational contributions across robot perception, planning, control, learning, manipulation, and the science of autonomous systems. The 22nd edition takes place July 13-17, 2026, at the University of Technology Sydney. A*-ranked, RSS draws a tightly focused community of robotics researchers from leading academic groups and industry labs, with a program designed so the entire audience attends every talk. Sydney is served by Sydney Kingsford Smith Airport (SYD), about 20 minutes from the city center on the Airport Link train. UTS sits in the Ultimo district next to Sydney Central station, walkable to Darling Harbour and the central business district.

  For more information, visit the conference website

Venue

University of Technology Sydney
15 Broadway, Ultimo NSW 2007, Australia
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Beyond Rigidity: Deformable and Articulated Robotic Object Manipulation

Addresses robotic manipulation of non-rigid objects - deformable items like clothes and cables, plus articulated objects like drawers and laptops....

Data-Centric Robotics: What Data Do Robots Really Need?

Examines the critical role of data in robot learning, asking what kinds of data matter most and at what scale...

It's the Demos: A Deep Look at the Role of Demonstration Quality in Imitation-Based Robot Manipulation

Examines how demonstration quality fundamentally shapes imitation-based robot manipulation systems. Brings together researchers to establish shared metrics, best practices, and...

4th Workshop on Dexterous Manipulation: Scalable Learning for Human-Level Skills

Focuses on scaling dexterous manipulation by leveraging advances in robotic hand hardware, large-scale video datasets, and simulation-to-reality transfer pipelines. Addresses...

Diffusion for Robot Learning

Explores how diffusion models can be applied to robot learning for both data generation and intelligent control. Aims to aggregate...

Embodied4Arts: Robots as Creative Partners for Artistic, Expressive, and Craft Tasks

Explores how robots can learn to perform creative tasks like painting, music, and crafting by translating high-level artistic intent into...

Reason, Plan, Act: A Hands-On Tutorial on Embodied Agentic AI

Teaches participants how to build autonomous AI systems that combine large language models with robotics, covering LLM-powered agentic AI architectures...

Failure Is Not the End: Towards Open-World Failure Recovery for Robots

Addresses how robots can detect, diagnose, and recover from failures when operating in open-world environments with unpredictable conditions. Explores methods...

Robot Planning in the Era of Foundation Models (FM4RoboPlan)

Explores how foundation models such as LLMs, vision-language models, and diffusion models are transforming robot planning. Examines integration with traditional...

Rethinking What It Means to be Safe for Generalist Robots

Addresses how to redefine safety for generalist robots that operate across diverse tasks and environments, moving beyond traditional constraint-based approaches...

The Geometry of Motion: Physics-Informed Structures for Learning and Control

Examines how geometric and physics-based principles such as Lie group theory and Riemannian geometry can improve robot learning and control...

Human-centric Mobile Manipulation Workshop

Addresses how mobile manipulation robots can effectively operate alongside humans in real-world environments by developing intuitive human-robot interaction and human-aware...

From Imitation to Certification: Learning, Reasoning, and Formal Methods for Safe Robot Manipulation

Brings together researchers from imitation learning, AI, control theory, and formal verification to address safety and trustworthiness in robotic manipulation....

Lab-to-Production Workshop: Toward Industrial-Grade Perception and Manipulation

Addresses the gap between robotics research and industrial deployment by examining how to translate advances in autonomous perception and manipulation...

Workshop on Neuromorphic Robotic Systems (NeuRoSys)

Examines how neuromorphic sensing and perception - technologies inspired by biological neural systems - can be integrated into robotic systems...

Open-World Navigation in the Foundation Model Era: Robustness and Failure Recovery

Examines robust navigation systems for robots in unpredictable environments by leveraging foundation models while addressing their inherent brittleness. Investigates failure...

Planning and Control with Imperfect Sensors and Perception

Examines how autonomous robots can make decisions when their perception systems are imperfect and uncertain, focusing on integrating modern semantic...

Post-training for Robotics Foundation Models

Examines how robotics foundation models can improve beyond initial pretraining by collecting their own interaction data and iteratively refining policies....

From Perception to Action: Representation-Centric Robot Autonomy

Examines how different map and scene representations - geometric, probabilistic, dense, implicit, or learned - fundamentally influence the entire autonomy...

Mapping the Reef: Underwater 3D Reconstruction for Coral Ecosystems

Focuses on developing and advancing 3D mapping technologies for monitoring coral reef ecosystems. Brings together researchers to share and compare...

Reinforcement Learning for Vision-Language-Action Models (RL4VLA)

Addresses how reinforcement learning can improve Vision-Language-Action models for robotics by moving beyond imitation learning limitations. Explores methods to enable...

Robot World Models

Focuses on developing world models - internal simulators that enable robots to anticipate how the world will respond to actions...

Sampling-Based Optimization for Robotics

Examines sampling-based techniques in robotics, exploring how methods from reinforcement learning and predictive control can handle complex dynamics and uncertainty....

3rd Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob 2026)

Focuses on how robots achieve semantic understanding of the world to make safe decisions and interact effectively with other agents....

Closing the Sim2Real Gap: Progress and Challenges

Addresses the research challenge of bridging the gap between simulation and real-world robotics implementation. Examines recent advances and ongoing obstacles...

Bridging AI and Robotics: Towards Safer and Smarter Surgery

Explores the integration of AI and robotics in surgical applications, focusing on intelligent and autonomous systems that can perceive, learn,...

Tactile Sensing for Robotic Foundation Models

Explores how tactile sensing can be integrated into robotic foundation models at scale, addressing hardware design, system integration alongside vision...

Embodied Intelligence Meets Foundation Models: Tactile Sensing and Soft Manipulation

Focuses on integrating tactile sensing, soft robotics, and foundation models to advance dexterous object manipulation for robots in human environments....

Trustworthy Embodied Foundation Models: Safety by Design versus Safety by Practice

Addresses safety challenges of deploying foundation models in robotic systems, exploring safety by design through training and architecture choices versus...

Towards Robust Execution of Long-Horizon Whole-Body Control Tasks

Addresses robot learning for complex extended tasks, focusing on deploying humanoids and manipulators on long-horizon tasks in the real world....

Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond

Brings together roboticists and machine learning researchers to discuss advances in whole-body control and bimanual manipulation, with a focus on...

Beyond the Lab: Rethinking Methods for Human Behavior Monitoring and Modeling in In-the-Wild Human-Robot Interaction

Examines methodologies for observing and understanding human behavior in real-world robotic deployments, addressing the challenge that findings from controlled studies...

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