Sessions

With robots being increasingly deployed in complex, dynamic environments, their ability to sense, plan, and act autonomously with intelligence is crucial for ensuring both agility and robustness. While computational intelligence […]

In recent years, robot learning has made significant progress, with advances in general manipulation capabilities. Solutions using foundation models and vast collections of human demonstrations have shown strong generalization. Additionally, […]

This workshop, organized by the IEEE Working Group on Reproducibility in Soft Robotics, focuses on engaging the community to discuss reproducibility issues within the field. Soft robotics often involves the […]

This workshop focuses on the safety implications of using vision-language foundation models (VLMs) in robotics, which are increasingly employed in systems like mobile manipulators and autonomous cars. VLMs, pre-trained on […]

The Workshop on Athletic Robots and Dynamic Motor Skills (RoboLetics 2.0) aims to explore the advancement of athletic and agile robots, which are pushing the boundaries of next-generation robotics with […]

Roboticists have made significant strides in the last decade, enabling complex robot behaviors across diverse domains. Dominant approaches to robot intelligence typically fall into two categories. First, analytical methods offer […]

Teleoperation systems have benefited from their mechanical and technological components, physical connections between diverse human-machine interfaces, low-latency communication protocols, and advanced control strategies. However, this perspective often overlooks the nuanced […]

How do we make a machine that indicates changes to its internal state, e.g., goals, attitude, or even emotion, through changes in movement profiles? That is, how do we build […]

This proposal responds to numerous requests over the past year, especially from the younger generation of aerial robotics researchers. Aerial robotics has undergone a pioneering evolution, continually expanding the boundaries […]

Generating complex robot behavior requires reasoning simultaneously on both discrete, task-related decisions and feasibility of continuous motions. This problem is often referred to as Task And Motion Planning (TAMP). Research […]

Autonomous robots must operate in real-time within dynamic environments, requiring robust performance across diverse scales. To achieve this, roboticists are increasingly leveraging heterogeneous deployments across edge and cloud infrastructures, while […]