Shiqi Zhang

      I am joining SUNY Binghamton as an assistant professor in summer 2018.

      My research is on Autonomous Intelligent Robotics. I am particularly interested in developing algorithms that integrate reasoning, planning, and learning formalisms for mobile service robots that work in human-inhabited, collaborative, everyday environments.

      I was an assistant professor in Cleveland State University. Before that, I was a Postdoc at UT Austin, where I worked on the Building Wide Intelligence project with Professor Peter Stone. Before that, I received my Ph.D. (2013) from Texas Tech University with Professor Mohan Sridharan. Before that, I received my M.S. and B.S. from Harbin Institute of Technology . More info about me: CV (pdf), a short bio (txt), and my Chinese name (png).

Recent updates

      • AAMAS'18 Best Robotics Paper Award with Shih-Yun Lo and Peter Stone!
      • New papers: IJCAI'18 paper on Multi-modal Predicate Identification (MPI); and AAMAS'18 paper on efficient Task and Motion Planning (TMP).
      • Co-organized the AAAI 2018 Spring Symposium on Goal Directed Autonomy in Stanford University CA.
      • Talked on service robots to researchers at Uru Videos -- a NYC-based Startup doing very interesting work on AI and computer vision.
      • Talked at the AAAI 2017 Fall Symposium on Human-Agent Groups on integrated reasoning and planning (IRP).
      • Panelist in the NEOACM 2017 discussion on ``AI, We Come in Peace''.
      • Visited Air Force Research Lab in 10/2016, and gave a talk on ``Integrating Commonsense Reasoning and Probabilistic Planning in Robotics''.


Multi-Robot Planning with Conflicts and Synergies

Task planning for a team of robots requires modeling limited domain resources (e.g., corridors that allow at most one robot at a time) and the possibility of action synergy (e.g., multiple robots going through a door after a single door-opening action). We introduce the iterative inter-dependent planning (IIDP) algorithm for planning for a team of robots, while avoiding searching in joint state or action spaces. [Paper, 2017]

Robot Scavenger Hunt Game

The main goal of the Robot Scavenger Hunt is to provide a standardized framework that includes a set of standardized tasks for evaluating the AI and robotic capabilities of medium-sized intelligent mobile robots. [Paper, 2016]

Mixed Logical Inference and Probabilistic Planning

Deployment of robots in practical domains poses key knowledge representation and reasoning challenges. This paper presents an architecture that exploits the complementary strengths of declarative programming and probabilistic graphical models as a step toward addressing these challenges. [Paper, 2015]

Robot Language Learning through Dialog

Intelligent robots frequently need to understand requests from naive users through natural language. We introduce a dialog agent for mobile robots that understands human instructions through semantic parsing, actively resolves ambiguities using a dialog manager, and incrementally learns from human-robot conversations by inducing training data from user paraphrases. [Paper, 2015]


    • Spring 2018: CIS 693, EEC 693, EEC 793 Autonomous Intelligent Robotics [web; project reports]
    • Fall 2017: CIS 490/590 Foundations of Computing
    • Spring 2017: CIS 493, EEC 492, EEC 592 Autonomous Intelligent Robotics [web; project reports]
    • Fall 2016: CIS 490/590 Foundations of Computing


    Professional Services

      Organizing Committee
        • The AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy, 2018
      Program Committee Member (Conferences)
        • The AAAI Conference on Artificial Intelligence (AAAI): 2014, 2015, 2018
        • International Joint Conference on Artificial Intelligence (IJCAI): 2015, 2016, 2017
        • The Annual Conference on Neural Information Processing Systems (NIPS): 2017, 2018
        • International Conference on Machine Learning (ICML): 2016, 2018
        • International Conference on Autonomous Agents and Multiagent Systems (AAMAS): 2016

    Robot Outreach

      • Students from Horizon Science Academy Cleveland Middle School (Cleveland OH) visited our lab in Jan 23, 2018.
        robot outreach robot outreach
        Left: James Doherty, an undergraduate research assistant, was explaining how our Segway-based mobile robot avoids people in navigation. Right: a visitor was using a ball to guide a drone to move in AIR lab.
      • More details to be added.


      Professor Shiqi Zhang

      Office: Q07, Engineering Building
      Phone: 607-777-4355

      Research Lab: ???


      Mailing address:

      Department of Computer Science
      Thomas J. Watson School of Engineering and Applied Science
      State University of New York at Binghamton
      4400 Vestal Parkway East
      Binghamton, NY 13902-6000