2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
Performance-Preserving Online Adaptation in Social Navigation via Diffusion Steering
Haruto Nagahisa, Kohei Matsumoto, Yuki Hyodo +1
In social navigation, modeling the complex interactions between humans and robots is difficult, and deep reinforcement learning has therefore been actively studied. However, becaus…
Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation
Haruto Nagahisa, Kohei Matsumoto, Yuki Tomita +2
As the demand for mobile robots continues to increase, social navigation has emerged as a critical task, driving active research into deep reinforcement learning (RL) approaches. H…
Coordinated Control of Multiple Construction Machines Using LLM-Generated Behavior Trees with Flag-Based Synchronization
Akinosuke Tsutsumi, Tomoya Itsuka, Yuichiro Kasahara +8
Earthwork operations face increasing demand, while workforce aging creates a growing need for automation. ROS2-TMS for Construction, a Cyber-Physical System framework for construct…
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo +1
Mobile robot navigation in dynamic environments with pedestrian traffic is a key challenge in the development of autonomous mobile service robots. Recently, deep reinforcement lear…
Development of CPS Platform for Autonomous Construction
Yuichiro Kasahara, Kota Akinari, Tomoya Kouno +7
In recent years, labor shortages due to the declining birthrate and aging population have become significant challenges at construction sites in developed countries, including Japa…