Three Presentations at RSJ2026

We presented three papers at the 44th Annual Conference of the Robotics Society of Japan (RSJ2026), held September 1–4, 2026 at Kanazawa University.

Presentation on force-aware LLM in-context learning and DMP — From left: Awano (3G3-05), Kuno (3B4-03), Kiyobayashi (3G4-03)

Presentation on accelerating Vision-Language-Action models — From left: Awano (3G3-05), Kuno (3B4-03), Kiyobayashi (3G4-03)

Robot Arm Motion Generation via Force-Aware LLM In-Context Learning and DMPKota Hamada (Kyoto University), Takashi Sato (Kyoto University), Sho Sakaino (University of Tsukuba), Hiromitsu Awano (Nagoya University)　3G3-05

Accelerating Vision-Language-Action Model Inference by Reusing VLM Internal RepresentationsShoya Kuno (Kyoto University), Takashi Sato (Kyoto University), Hiromitsu Awano (Nagoya University)　3B4-03

An FPGA-Based Low-Latency Bilateral Control System for Low-Cost Articulated RobotsYoshiki Kiyobayashi (Kyoto University), Takashi Sato (Kyoto University), Hiromitsu Awano (Nagoya University)　3G4-03

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