Shubham D. Sonawani

Hello! I am currently a Research Scientist at Apricity Robotics, where I develop robot-learning and multimodal-perception systems for next-generation healthcare robots. I received my PhD from Arizona State University (ASU), where I tackled challenging problems in human-robot interaction, robot learning, and computer vision as a member of the Interactive Robotics Laboratory (IRL) under the supervision of Prof. Heni Ben Amor. My current research interests include robot learning, multimodal learning for robotic grasping and manipulation, teleoperation, computer vision, and safe human–robot interaction.

Links: [ CV ] [ Linkedin ] [ Google Scholar ] [ Github ]

news

Jun 30, 2024	Excited to announce that two of our papers have been accepted for presentation at IROS 2024: SiSCo: Signal Synthesis for Effective Human-Robot Communication via Large Language Models. Diff-Control: A Stateful Diffusion-based Policy for Imitation Learning.
Jan 29, 2024	Our paper “iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch” was accepted for presentation at ICRA 2024.
Oct 08, 2023	Excited to be part of a worldwide collaboration on “Open X-Embodiment: Robotic Learning Datasets and RT-X Models.”
Aug 23, 2023	Our paper “Learning modular language-conditioned robot policies through attention” was accepted as an article in Autonomous Robots Journal 2023.
Jun 21, 2023	Happy to announce that two of our papers have been accepted for presentation at IROS 2023: “Projecting Robot Intentions through Visual Cues: Static vs. Dynamic Signaling.” “Anytime, Anywhere: Human Arm Pose Estimation from Smartwatch Data for Ubiquitous Robot Control and Teleoperation.”
Dec 08, 2022	Our paper “Modularity through attention: Efficient training and transfer of language-conditioned policies for robot manipulation” was accepted at CoRL 2022.
Aug 23, 2022	Workshop paper “Imitation Learning based Auto-Correction of Extrinsic Parameters for A Mixed-Reality Setup” was accepted at XR-ROB, IROS 2022.
Feb 19, 2022	Workshop paper “When And Where Are You Going? A Mixed-Reality Framework for Human Robot Collaboration” was accepted at VAM-HRI 2022.