activity
20182025
most citedLLM+P: Empowering Large Language Models with Optimal Planning Proficiency

85 citations · 202 across the 15 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.RO2018★ 10 cited

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots

Yuqian Jiang, Fangkai Yang, Shiqi Zhang +1

Task-motion planning (TMP) addresses the problem of efficiently generating executable and low-cost task plans in a discrete space such that the (initially unknown) action costs are…

cs.RO2018★ 11 cited

LAAIR: A Layered Architecture for Autonomous Interactive Robots

Yuqian Jiang, Nick Walker, Minkyu Kim +6

When developing general purpose robots, the overarching software architecture can greatly affect the ease of accomplishing various tasks. Initial efforts to create unified robot sy…

cs.RO2018★ 2 cited

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence

Justin Hart, Harel Yedidsion, Yuqian Jiang +8

Efforts are underway at UT Austin to build autonomous robot systems that address the challenges of long-term deployments in office environments and of the more prescribed domestic…

cs.RO2018★ 18 cited

An Architecture for Person-Following using Active Target Search

Minkyu Kim, Miguel Arduengo, Nick Walker +4

This paper addresses a novel architecture for person-following robots using active search. The proposed system can be applied in real-time to general mobile robots for learning fea…

cs.AI2018★ 4 cited

Task Planning in Robotics: an Empirical Comparison of PDDL-based and ASP-based Systems

Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal +1

Robots need task planning algorithms to sequence actions toward accomplishing goals that are impossible through individual actions. Off-the-shelf task planners can be used by intel…