research
∙
06/07/2023
Anticipating Accidents through Reasoned Simulation
A key goal of the System-Theoretic Process Analysis (STPA) hazard analys...
share
research
∙
09/20/2022
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models
Testing black-box perceptual-control systems in simulation faces two dif...
research
∙
05/21/2022
Risk-Driven Design of Perception Systems
Modern autonomous systems rely on perception modules to process complex ...
research
∙
02/25/2022
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
Soft actuators offer a safe and adaptable approach to robotic tasks like...
research
∙
02/12/2022
Robust Learning from Observation with Model Misspecification
Imitation learning (IL) is a popular paradigm for training policies in r...
research
∙
09/16/2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design
Many robot control scenarios involve assessing system robustness against...
research
∙
06/21/2021
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications
This paper presents an extension to the probabilistic programming langua...
research
∙
11/02/2020
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments
Robotic control tasks are often first run in simulation for the purposes...
research
∙
02/04/2020
Learning robotic ultrasound scanning using probabilistic temporal ranking
This paper addresses a common class of problems where a robot learns to ...
research
∙
02/03/2020
Elaborating on Learned Demonstrations with Temporal Logic Specifications
Most current methods for learning from demonstrations assume that those ...
research
∙
02/27/2019
Learning Factored Markov Decision Processes with Unawareness
Methods for learning and planning in sequential decision problems often ...
research
∙
01/10/2018
