TASLAB Hosts ICRA 2026 Workshop and Presents Accepted Paper
TASLAB Hosts ICRA 2026 Workshop and Presents Accepted Paper
TASLAB is pleased to share that our team hosted the 1st Workshop on Robot Meets GNSS and Ranging for Seamless Autonomy at the 2026 IEEE International Conference on Robotics and Automation (ICRA 2026), held in Vienna, Austria. The workshop brought together researchers from robotics, navigation, positioning, and intelligent transportation communities to discuss how GNSS, UWB, ranging, and multi-sensor fusion technologies can support reliable robot autonomy in complex real-world environments.
The workshop focused on shared challenges in sensor integration, ranging error modeling, integrity monitoring, robust localization, and certifiable optimization for autonomous systems. Through invited talks, technical presentations, and discussions, participants exchanged ideas on how ranging technologies can improve the safety, continuity, and resilience of robot navigation.
In addition to hosting the workshop, our paper, “Integrated Planning and Control on Manifolds: Factor Graph Representation and Toolkit”, by Peiwen Yang, Weisong Wen, Runqiu Yang, Yuanyuan Zhang, Jiahao Hu, Yingming Chen, Naigui Xiao and Jiaqi Zhao, was accepted by ICRA 2026. The paper introduces FactorMPC, a factor-graph based model predictive control toolkit for systems evolving on nonlinear manifolds, supporting geometrically consistent planning and control for robotics applications.
The successful workshop and paper acceptance highlight TASLAB’s continued efforts in robust navigation, GNSS/ranging-aided autonomy, factor graph optimization, and safety-aware planning and control for intelligent autonomous systems.
More details about the workshop can be found on the workshop page.
TASLAB members at the ICRA 2026 workshop venue in Vienna.
Opening remarks for the 1st Workshop on Robot Meets GNSS and Ranging for Seamless Autonomy.
Presentation related to factor graphs, world models, and planning-control integration at ICRA 2026.
Group photo from the ICRA 2026 Robot Meets GNSS and Ranging workshop.