5 papers
ReVNM: Learning-Based Visual Navigation from a Remote Camera
Michikuni Eguchi, Kohei Honda, Masafumi Endo +2
Visual Navigation Models (VNMs) enable robots to navigate from egocentric visual observations without geometric localization and planning, but long-range navigation still requires…
HaptoFlow: High-Fidelity Real-Time Vibrotactile Generation via Flow Matching for Virtual Reality
Michikuni Eguchi, Yuichi Hiroi, Takefumi Hiraki
Haptic feedback is widely employed to enhance immersion in Virtual Reality (VR) environments. However, designing haptic stimuli that cover diverse interaction conditions remains a…
Tactile Data Recording System for Clothing with Motion-Controlled Robotic Sliding
Michikuni Eguchi, Takekazu Kitagishi, Yuichi Hiroi +1
The tactile sensation of clothing is critical to wearer comfort. To reveal physical properties that make clothing comfortable, systematic collection of tactile data during sliding…
Cluster Haptic Texture Dataset: Haptic Texture Dataset with Varied Velocity-Direction Sliding Contacts
Michikuni Eguchi, Tomohiro Hayase, Yuichi Hiroi +1
Haptic sciences and technologies benefit greatly from comprehensive datasets that capture tactile stimuli under controlled, systematic conditions. However, existing haptic datasets…
Robot Swarm Control Based on Smoothed Particle Hydrodynamics for Obstacle-Unaware Navigation
Michikuni Eguchi, Mai Nishimura, Shigeo Yoshida +1
Robot swarms hold immense potential for performing complex tasks far beyond the capabilities of individual robots. However, the challenge in unleashing this potential is the robots…