News
May 2024
My collaborators and I will present two workshop papers at ICRA 2024:
- “Dynamic Motion Planning from Perception via Accelerated Point Cloud Collision Checking” in “Agile Robotics: From Perception to Dynamic Action”, with Clayton W. Ramsey, Zak Kingston, and Lydia Kavraki
- “Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty”, in “Back to the Future: Robot Learning Going Probabilistic”, with Carlos Quintero-Peña, Zak Kingston, Anastasios Kyrillidis, and Lydia Kavraki
Apr 2024
I have been invited to give a spotlight talk at the 3rd annual Texas Regional Robotics Symposium (TEROS)!
Source code for “Motions in Microseconds via Vectorized Sampling-Based Planning” is now available at github.com/kavrakilab/vamp
Jan 2024
I had three papers accepted to ICRA 2024!
- “Motions in Microseconds via Vectorized Sampling-Based Planning”, with Zak Kingston and Lydia Kavraki
- “Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty”, with Carlos Quintero-Peña, Zak Kingston, Anastasios Kyrillidis, and Lydia Kavraki
- “Accelerating Long-Horizon Planning with Affordance-Directed Dynamic Grounding of Abstract Skills”, with Khen Elimelech, Zak Kingston, Moshe Vardi, and Lydia Kavraki
Thanks to the reviewers for their valuable feedback!
Sep 2023
I have a new preprint with Zak Kingston and Lydia Kavraki on vector-accelerated sampling-based motion planning.
I have a new preprint with Carlos Quintero-Peña, Zak Kingston, Anastasios Kyrillidis, and Lydia Kavraki on risk-minimizing motion planning under uncertainty using a learned implicit distance model.
Jul 2023
I’ve been invited to participate in the NSF-sponsored Workshop on Software Engineering for Robotic Systems at IROS 2023.
Oct 2022
I’m organizing and running the Workshop on Evaluating Motion Planning Performance at IROS 2022. Come by on Oct. 23!
Jul 2022
My paper with Marlin Strub and Jon Gammell, Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning, has been accepted to IEEE RA-L and IROS 2022
Jan 2022
I’ve started at the Kavraki Lab
Aug 2021
I successfully defended my PhD!
Jul 2021
I have been awarded the CRA CIFellows 2021 postdoctoral fellowship to conduct a 2-year postdoctoral appointment with Professor Lydia Kavraki
I helped to organize and run the RSS Pioneers 2021
Jul 2020
I will be helping to organize RSS Pioneers 2021 as a member of the Faculty Committee
Apr 2020
I was accepted to the 2020 RSS Pioneers workshop (33.7% acceptance rate)
Jul 2019
My paper with Ross Knepper, “A Unified Sampling-Based Approach to Integrated Task and Motion Planning” was accepted to ISRR 2019
Jun 2019
My workshop paper with Ross Knepper, “A Flexible Sampling-Based Approach to Task and Motion Planning”, will be presented at RSS 2019 in the Robust Task and Motion Planning workshop
I passed my A Exam, presenting on “An Efficient, Flexible Sampling-Based Approach to Integrated Task and Motion Planning”. I’m now a PhD candidate
Nov 2017
My paper with Christoforos Mavrogiannis and Ross Knepper, “Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments”, was accepted to HRI 2018
Jul 2017
I presented my workshop paper “Exploiting Heterogeneity in Robot Teams Through a Formalism of Capabilities” at RSS 2017 in the workshop on Heterogeneity and Diversity for Resilience in Multi-Robot Systems
Apr 2017
I was awarded the NDSEG Fellowship
Mar 2017
I was awarded the NSF GRFP Fellowship
Oct 2016
I presented my paper “Zero-Shot Learning for Unfamiliar Gesture Recognition” at ISER 2016
Jun 2016
I presented my workshop paper “Recognizing Unfamiliar Gestures for Human-Robot Interaction through Zero-Shot Learning” at RSS 2016 in the 2nd Workshop on Model Learning for Human-Robot Communication
May 2016
My paper “Zero-Shot Learning for Unfamiliar Gesture Recognition” was accepted to ISER 2016