Our lab is interested in engineering and understanding collaborative autonomy and assured autonomy. We study many topics on the borders of control theory, artificial intelligence, formal methods, and cognitive science. Currently our research focuses on:

  • Trustworthy AI/CPS, particularly safety and explanability
  • Adaptive human-autonomy teaming
  • Cognitive neuroengineering
  • Autonomous UAS and UAS swarms
  • AI and aerial robotics for agricultural, environmental, public health, and defense applications

Our lab accepts students from MAE, CS, and BME. If you are interested in joining our lab, please read this first before contacting us.

Our lab has an open postdoc position in the areas of neurophysiological signals and human-autonomy teaming. Please see the position here.

Recent Lab News

  • 11/25/2022 Our paper "Energy-optimal UAV Motion Planning and Control based on Integrated System Physical Dynamics" has been accepted by the Journal of Dynamic Systems, Measurement and Control. 
  • 11/22/2022 Our lab has received a research grant from AFOSR on "Metrics and Models for Real Time Inference and Prediction of Trust in Human-autonomy Teaming". Our collaborators include Dr. Allie Anderson and Dr. Torin Clark. We are very excited to work on this project!
  • 11/05/2022 Our paper "Neural Ensemble Dynamics in Truck and Hindlimb Sensorimotor Cortex Encode for The Control of Postural Stability" is available at SSRN for preview. ​
  • 10/24/2022 Dr. Kong will give a talk on "Robotics & AI for Pandemic Intelligence" at the Pandemic Engineering for Accessibility and Community Engagement Workshop to be held at UC Davis on Oct. 17-18. 
  • 10/02/2022 Two of our posters "Causal Fault Explanation for Environmental Control and Life Support System Anomaly Response" and "Operationalizing Human Cognitive State Assessment" have been accepted by 2022 SmartHab Workshop. 
  • 09/01/2022 Dr. Ashkan Zehfroosh has joined our lab as a postdoc. He will work on an AIFS project and be co-supervised by Dr. Stavros Vougioukas. Welcome Ashkan!
  • 08/26/2022 Our paper "Explainable AI Design Goals and Evaluation Metrics for Space Exploration: A Survey of Human Spaceflight Domain Experts" has been accepted by 2023 AIAA SciTech. 
  • 08/25/2022 Greg has successfully passed his PhD qualifying exam. Congrats, Greg! 
  • 08/10/2022 Our paper "Data-driven vermiculite distribution modelling for UAV-based precision pest management" is now available online.
  • 08/01/2022 Our lab will join the "Transdisciplinary Innovation in Predictive Science for Emerging Infectious Disease and Spillover" project led by Dr. Christine Johnson. Our lab will focus on developing robotics and sensor technologies for rapid, accurate, safe, and scalable pathogen detection tailored to a range of animals in diverse environments​.
  • 06/06/2022 Six undergraduate students who have worked in our lab as researchers over the past two years will graduate at the end of this academic year. Marie will be commissioned as a 2Lt and pilot in the USAF; Ayush and Sid will join the PhD program of UC Davis; Shuhao will join the MS program of UCLA; Sri will join the MS program of CMU; Graham will join Lumentum as a mechanical engineer. Congrats to all! We wish you all a bright future!
  • 06/03/2022 Evan Foley has successfully completed his MS project "Optimal Control of Multiple UAVs for Wildfire Fighting". He will join Lockheed Martin. Congrats Evan. We wish him a bright future! 
  • 05/09/2022 Our paper "Brain-Machine Interfaces: From Restoring Sensorimotor Control to Augmenting Cognition" is now available online.
  • 04/26/2022 Our paper "Modeling and Validation of Electric Multirotor Unmanned Aerial Vehicle System Energy Dynamics" is now available online.
  • 04/20/2022 Our paper "Neurophysiological and behavioral differences in human-multiagent tasks: An EEG network perspective" is now available online.
  • 04/12/2022 Dr. Kong will join a trans-disciplinary panel discussion (Team Research Forum: Preparing for the Next Pandemic) about future research needed to address technical and scientific challenges for pandemic preparedness.
  • 03/04/2022 Our paper "Vision-based 2D navigation of unmanned aerial vehicles in riverine environments with imitation learning" is now available online.
  • 02/16/2022 Two of our projects "Open-Source Infrastructure to Accelerate Scaling of Agricultural AI Technologies" and "Towards An End-to-end Explainable Diet Recommendation System" has been selected for funding by the AI Institute for Next Generation Food Systems (AIFS). We will work with Drs. Earles, Bailey, Vougioukas, Kisekka, Pourreza, and Jin on the first project and Drs. Lemay, Liu, Tagkopoulos, and Chen on the second project.
  • 02/02/2022 Our paper "Energy-efficient UAV trajectory generation based on system-level modeling of multi-physical dynamics" has been accepted by the American Control Conference (ACC).
  • 01/18/2022 Fanyu will present our work on "Autonomous Greenhouse Control: A Bayesian Optimization and Model-based Reinforcement Learning Approach" at the International Conference on Digital Technologies for Sustainable Crop Production (DIGICROP).​

In the Press

Location

Contact Us
academic surge, room 2328
one shields ave.
davis, CA 95616
zdkong (at) ucdavis (dot) edu