Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Park, Shinkyu"'
This paper proposes an assembly sequence planning framework, named Subassembly to Assembly (S2A). The framework is designed to enable a robotic manipulator to assemble multiple parts in a prespecified structure by leveraging object manipulation actio
Externí odkaz:
http://arxiv.org/abs/2409.13620
Autor:
Park, Shinkyu
We study a multi-agent decision problem in population games, where agents select from multiple available strategies and continually revise their selections based on the payoffs associated with these strategies. Unlike conventional population game for
Externí odkaz:
http://arxiv.org/abs/2407.06328
Integrating Disambiguation and User Preferences into Large Language Models for Robot Motion Planning
Autor:
Abugurain, Mohammed, Park, Shinkyu
This paper presents a framework that can interpret humans' navigation commands containing temporal elements and directly translate their natural language instructions into robot motion planning. Central to our framework is utilizing Large Language Mo
Externí odkaz:
http://arxiv.org/abs/2404.14547
This paper proposes an approach to mitigate epidemic spread in a population of strategic agents by encouraging safer behaviors through carefully designed rewards. These rewards, which vary according to the state of the epidemic, are ascribed by a dyn
Externí odkaz:
http://arxiv.org/abs/2401.15475
We propose a threshold decision-making framework for controlling the physical dynamics of an agent switching between two spatial tasks. Our framework couples a nonlinear opinion dynamics model that represents the evolution of an agent's preference fo
Externí odkaz:
http://arxiv.org/abs/2312.06395
This paper presents a cooperative multi-robot multi-target tracking framework aimed at enhancing the efficiency of the heterogeneous sensor network and, consequently, improving overall target tracking accuracy. The concept of normalized unused sensin
Externí odkaz:
http://arxiv.org/abs/2311.01707
Autor:
Park, Shinkyu, Leonard, Naomi Ehrich
We study a multi-agent decision problem in large population games. Agents from multiple populations select strategies for repeated interactions with one another. At each stage of these interactions, agents use their decision-making model to revise th
Externí odkaz:
http://arxiv.org/abs/2306.07535
Autor:
Park, Shinkyu, Barreiro-Gomez, Julian
We investigate a multi-agent decision-making problem where a large population of agents is responsible for carrying out a set of assigned tasks. The amount of jobs in each task varies over time governed by a dynamical system model. Each agent needs t
Externí odkaz:
http://arxiv.org/abs/2306.02278
Autor:
Park, Shinkyu
We investigate a multi-agent decision problem in population games where each agent in a population makes a decision on strategy selection and revision to engage in repeated games with others. The strategy revision is subject to time delays which repr
Externí odkaz:
http://arxiv.org/abs/2210.05472
We propose, analyze, and experimentally verify a new proactive approach for robot social navigation driven by the robot's "opinion" for which way and by how much to pass human movers crossing its path. The robot forms an opinion over time according t
Externí odkaz:
http://arxiv.org/abs/2210.01642