Shiqi Zhang

Teaching

    • Fall 2021 (CS 465/565) Introduction to Artificial Intelligence [web]
    • Earlier courses
    • Spring 2021 (CS 424/524) Intelligent Mobile Robotics [web]
    • Fall 2020 (CS 465/565) Introduction to Artificial Intelligence [web]
    • Spring 2020 (CS 465/565) Introduction to Artificial Intelligence [web]
    • Fall 2019 (CS 480/580) Intelligent Mobile Robotics [web]
    • Spring 2019 (CS 465/565) Introduction to Artificial Intelligence [web]
    • Fall 2018 (CS 480/580) Intelligent Mobile Robotics [web]
    • 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

Videos (YouTube)

Human-Robot Collaboration via Augmented Reality

Effective human-robot collaboration (HRC) requires extensive communication among the human and robot teammates, because their actions can potentially produce conflicts, synergies, or both. In this paper, we develop an augmented reality-driven, negotiation-based (ARN) framework for HRC, where ARN supports planning-phase negotiations within human-robot teams through a novel AR-based interface. [Paper, 2019]

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]

Activities

    Professional Services

      Available in CV.

    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.

Contact

      Shiqi Zhang
      Assistant Professor of Computer Science
      The State University of New York (SUNY) at Binghamton
      http://www.cs.binghamton.edu/~szhang/

      Office: N12, Engineering Building
      Phone: 607-777-4355
      Email: zhangs@binghamton.edu
      Zoom meeting:
      https://binghamton.zoom.us/my/zhangs
      Research Lab: N09, Engineering Building

      Mailing address:

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