David (IPA: da.vid or da.vɪd) is:
A bit about me:
My research intersects robotics and AI; I want to work on algorithms for intelligent robots for meaningful purposes - in particular, service / domestic robotics.
I am keenly interested in how knowledge can be conveyed to robots and how high-level knowledge and reasoning capabilities of robots are connected to the way robots view and understand the world - through sensors, vision systems, or haptics.
Jun 26 - Jul 1, 2022 — Attended RSS 2022, which was held at Columbia University, NY. I also presented my work in the RSS Pioneers Workshop 2022!
Jun 8-11, 2022 — Attended RLDM 2022, which was held at Brown University, RI.
May 16, 2022 — My application for the RSS Pioneers Workshop 2022 was accepted!
Jan 26, 2022 — Special Session entitled "Knowledge Representation and Reasoning for Autonomous Agents" has been accepted to CASE 2022. Co-organized along with Yu Sun (USF) and Yunyi Jia (Clemson).
Nov 1, 2021 — Started new position as Postdoctoral Researcher at Brown University, Rhode Island, USA.
Jul 12, 2021 — I will be chairing an organized session entitled "Robots in the household: A review of task acquisition, planning, and execution" for the UR 2021 conference.
May 17, 2021 — Short Paper Accepted to UR 2021: "Evaluating Recipes Generated from Functional Object-Oriented Network"
May 17, 2021 — Short Paper Accepted to UR 2021: "A Road-map to Robot Task Execution with the Functional Object-Oriented Network"
Feb 2, 2021 — Paper Accepted to ICRA 2021: "Task Planning with a Weighted Functional Object-Oriented Network"
Oct 11, 2020 — Paper Accepted to ICPR 2020: "Developing Motion Code Embedding for Action Recognition in Videos"
Oct 1, 2020 — Started new position as Postdoctoral Researcher at Technical University of Munich, Germany.