24 citations · 48 across the 13 of their papers we have counts for
13 papers
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation
Wei-Cheng Tseng, Gashon Hussein, Yuzhu Dong +9
Evaluating generalist robot manipulation policies in the real world is expensive, slow, and difficult to scale. Action-conditioned video world models offer a scalable alternative b…
TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation
Dongwon Son, Florian Shkurti, Jason Lee +3
A policy tuned for one robot often behaves differently on another, whether due to the sim-to-real gap, unknown payloads, or the differing dynamics of two instances of the same robo…
Deploying SICNav in the Field: Safe and Interactive Crowd Navigation using MPC and Bilevel Optimization
Sepehr Samavi, Garvish Bhutani, Florian Shkurti +1
Safe and efficient navigation in crowded environments remains a critical challenge for robots that provide a variety of service tasks such as food delivery or autonomous wheelchair…
SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions
Sepehr Samavi, Anthony Lem, Fumiaki Sato +5
To navigate crowds without collisions, robots must interact with humans by forecasting their future motion and reacting accordingly. While learning-based prediction models have sho…
Automated Planning Domain Inference for Task and Motion Planning
Jinbang Huang, Allen Tao, Rozilyn Marco +3
Task and motion planning (TAMP) frameworks address long and complex planning problems by integrating high-level task planners with low-level motion planners. However, existing TAMP…
SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization
Sepehr Samavi, James R. Han, Florian Shkurti +1
Robots need to predict and react to human motions to navigate through a crowd without collisions. Many existing methods decouple prediction from planning, which does not account fo…
Field Testing of a Stochastic Planner for ASV Navigation Using Satellite Images
Philip Huang, Tony Wang, Florian Shkurti +1
We introduce a multi-sensor navigation system for autonomous surface vessels (ASV) intended for water-quality monitoring in freshwater lakes. Our mission planner uses satellite ima…
Does Unpredictability Influence Driving Behavior?
Sepehr Samavi, Florian Shkurti, Angela P. Schoellig
In this paper we investigate the effect of the unpredictability of surrounding cars on an ego-car performing a driving maneuver. We use Maximum Entropy Inverse Reinforcement Learni…
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
Mohamed Khodeir, Atharv Sonwane, Ruthrash Hari +1
PDDLStream solvers have recently emerged as viable solutions for Task and Motion Planning (TAMP) problems, extending PDDL to problems with continuous action spaces. Prior work has…
Stochastic Planning for ASV Navigation Using Satellite Images
Yizhou Huang, Hamza Dugmag, Timothy D. Barfoot +1
Autonomous surface vessels (ASV) represent a promising technology to automate water-quality monitoring of lakes. In this work, we use satellite images as a coarse map and plan samp…
Learning to Search in Task and Motion Planning with Streams
Mohamed Khodeir, Ben Agro, Florian Shkurti
Task and motion planning problems in robotics combine symbolic planning over discrete task variables with motion optimization over continuous state and action variables. Recent wor…
Augmenting Imitation Experience via Equivariant Representations
Dhruv Sharma, Alihusein Kuwajerwala, Florian Shkurti
The robustness of visual navigation policies trained through imitation often hinges on the augmentation of the training image-action pairs. Traditionally, this has been done by col…
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Ke Dong, Karime Pereida, Florian Shkurti +1
Mobile manipulators consist of a mobile platform equipped with one or more robot arms and are of interest for a wide array of challenging tasks because of their extended workspace…