9 citations · 31 across the 8 of their papers we have counts for
8 papers
Generating Active Explicable Plans in Human-Robot Teaming
Akkamahadevi Hanni, Yu Zhang
Intelligent robots are redefining a multitude of critical domains but are still far from being fully capable of assisting human peers in day-to-day tasks. An important requirement…
Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning
Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang
The assumption of complete domain knowledge is not warranted for robot planning and decision-making in the real world. It could be due to design flaws or arise from domain ramifica…
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming
Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma +2
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods pro…
Online Explanation Generation for Human-Robot Teaming
Mehrdad Zakershahrak, Ze Gong, Nikhillesh Sadassivam +1
As AI becomes an integral part of our lives, the development of explainable AI, embodied in the decision-making process of an AI or robotic agent, becomes imperative. For a robotic…
Progressive Explanation Generation for Human-robot Teaming
Yu Zhang, Mehrdad Zakershahrak
Generating explanation to explain its behavior is an essential capability for a robotic teammate. Explanations help human partners better understand the situation and maintain trus…
Interactive Plan Explicability in Human-Robot Teaming
Mehrdad Zakershahrak, Yu Zhang
Human-robot teaming is one of the most important applications of artificial intelligence in the fast-growing field of robotics. For effective teaming, a robot must not only maintai…
DisCoF: Asynchronous DisCoF with Flexible Decoupling for Cooperative Pathfinding in Distributed Systems
Kangjin Kim, Joe Campbell, William Duong +2
In our prior work, we outlined an approach, named DisCoF, for cooperative pathfinding in distributed systems with limited sensing and communication range. Contrasting to prior work…
A Formal Analysis of Required Cooperation in Multi-agent Planning
Yu Zhang, Subbarao Kambhampati
Research on multi-agent planning has been popular in recent years. While previous research has been motivated by the understanding that, through cooperation, multi-agent systems ca…