2025 IROS Half-day Workshop

4th Sensorimotor-Augmented Teleoperation: Human-interaction-oriented Paradigm and Real-world Concerns

13:00-18:00, Oct 20, 2025 (Beijing Time)

Room 207, Hangzhou International Expo Center

Overview

Teleoperation systems are evolving beyond traditional interfaces by integrating sensorimotor augmentation to align with human proprioceptive and cognitive capabilities. While advancements in robotics and AI have improved remote operations, challenges persist in reducing cognitive load, enhancing situational awareness, and ensuring intuitive human-robot collaboration. This workshop introduces a paradigm shift toward human-interaction-oriented (HIO) frameworks, integrating multimodal sensory feedback (such as haptic and proprioceptive systems) with adaptive motor control strategies. This approach aims to effectively bridge the gap between human intent and robotic execution, enhancing synergy in interactive applications.

Figure 1: Human-interaction-oriented (HIO) teleoperation: Modalities, subjects, and criteria across diverse applications.

Aim & Scope

Unlike previous workshops focused on unilateral teleoperation, this event uniquely explores sensorimotor integration across diverse applications—surgery, marine exploration, and nuclear decommissioning, where human adaptability and real-time feedback are critical. Topics include:

Multimodal sensory fusion for enriched operator perception.
Motor control augmentation via AI-driven exoskeletons and VR/AR interfaces.
Human adaptability to dynamic teleoperation environments.

The half-day workshop features 5 confirmed speakers from academia and industry, an amazing Mentor-Mentee Network (MMN) fostering cross-disciplinary collaboration, and interactive demos of cutting-edge devices (e.g., haptic gloves, vision-based tactile sensors). By integrating robotics, neuroscience, and human-computer interaction disciplines, this workshop seeks to reconceptualize teleoperation through human-centered sensorimotor enhancements. These advancements are designed to foster innovations in robotic systems, prioritizing safety and intuitive interaction to enable next-generation collaborative frameworks for human-robot partnerships.