5 accepted papers
Mobile robot navigation in dynamic human environments requires policies that balance adaptability to diverse behaviors with compliance to safety constraints. We hypothesize that integrating data-driven rewards with rule-based objectives enables navigation policies to achieve a more effective balance…
This paper presents SHARP (Supercomputing for High-speed Avoidance and Reactive Planning), a proof-of- concept study demonstrating how high-performance computing (HPC) can enable millisecond-scale responsiveness in robotic control. While modern robots face increasing demands for reactivity in human–…
Playful deception, a common feature in human social interactions, remains underexplored in Human-Robot Interaction (HRI). Inspired by the Turkish Ice Cream (TIC) vendor routine, we investigate how bounded, culturally familiar forms of deception influence user trust, enjoyment, engagement, and willin…
In this paper, we focus on the problem of efficiently locating a target object described with free-form text using a mobile robot equipped with vision sensors (e.g., an RGBD camera). Conventional active visual search predefines a set of objects to search for, rendering these techniques restrictive i…
In this work, we present a semi-supervised learning method to transfer human motion data to humanoid robots with varying kinematic configurations while avoiding self-collisions.To this end, we propose a data-driven motion retargeting named locally weighted latent learning which possesses the benefi…