research
∙
09/08/2023
Learning Task Skills and Goals Simultaneously from Physical Interaction
In real-world human-robot systems, it is essential for a robot to compre...
share
research
∙
09/05/2023
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks
A novel, learning-based method for in situ estimation of soil properties...
research
∙
09/04/2023
Marginalized Importance Sampling for Off-Environment Policy Evaluation
Reinforcement Learning (RL) methods are typically sample-inefficient, ma...
research
∙
08/01/2023
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems
Intelligent driving systems can be used to mitigate congestion through s...
research
∙
07/04/2023
User-Friendly Safety Monitoring System for Manufacturing Cobots
Collaborative robots are being increasingly utilized in industrial produ...
research
∙
05/17/2023
Equivariant Few-Shot Learning from Pretrained Models
Efficient transfer learning algorithms are key to the success of foundat...
research
∙
04/01/2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
As advances in artificial intelligence enable increasingly capable learn...
research
∙
04/01/2023
Adaptive Failure Search Using Critical States from Domain Experts
Uncovering potential failure cases is a crucial step in the validation o...
research
∙
02/17/2023
Towards Co-operative Congestion Mitigation
The effects of traffic congestion are widespread and are an impedance to...
research
∙
01/23/2023
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation
Based on the recent advancements in representation learning, we propose ...
research
∙
01/09/2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
In autonomous driving, detection of abnormal driving behaviors is essent...
research
∙
10/02/2022
Occlusion-Aware Crowd Navigation Using People as Sensors
Autonomous navigation in crowded spaces poses a challenge for mobile rob...
research
∙
09/21/2022
Towards Robots that Influence Humans over Long-Term Interaction
When humans interact with robots influence is inevitable. Consider an au...
research
∙
07/08/2022
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)
The task of driver attention prediction has drawn considerable interest ...
research
∙
05/28/2022
Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration
Significant progress in robotics reveals new opportunities to advance ma...
research
∙
05/03/2022
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance
The number of multi-robot systems deployed in field applications has inc...
research
∙
04/03/2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
Despite the rapid advancement of navigation algorithms, mobile robots of...
research
∙
03/03/2022
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction
We study the problem of safe and socially aware robot navigation in dens...
research
∙
02/27/2022
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction
Spatio-temporal graphs (ST-graphs) have been used to model time series t...
research
∙
12/21/2021
Off Environment Evaluation Using Convex Risk Minimization
Applying reinforcement learning (RL) methods on robots typically involve...
research
∙
09/14/2021
Learning to Navigate Intersections with Unsupervised Driver Trait Inference
Navigation through uncontrolled intersections is one of the key challeng...
research
∙
09/07/2021
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots
Inspired by sensorimotor theory, we propose a novel pipeline for voice-c...
research
∙
09/05/2021
Multi-Agent Variational Occlusion Inference Using People as Sensors
Autonomous vehicles must reason about spatial occlusions in urban enviro...
research
∙
07/15/2021
Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction
Multi-pedestrian trajectory prediction is an indispensable safety elemen...
research
∙
04/12/2021
Building Mental Models through Preview of Autopilot Behaviors
Effective human-vehicle collaboration requires an appropriate un-derstan...
research
∙
02/25/2021
AutoPreview: A Framework for Autopilot Behavior Understanding
The behavior of self driving cars may differ from people expectations, (...
research
∙
12/15/2020
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
To achieve high-levels of autonomy, modern robots require the ability to...
research
∙
11/09/2020
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Safe and efficient navigation through human crowds is an essential capab...
research
∙
06/30/2020
Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction
Trajectory prediction is one of the key capabilities for robots to safel...
research
∙
06/15/2020
Modeling and Prediction of Human Driver Behavior: A Survey
We present a review and taxonomy of 200 models from the literature on dr...
research
∙
12/23/2019
Monte-Carlo Tree Search for Policy Optimization
Gradient-based methods are often used for policy optimization in deep re...
research
∙
10/12/2019
Online monitoring for safe pedestrian-vehicle interactions
As autonomous systems begin to operate amongst humans, methods for safe ...
research
∙
09/19/2019
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
We explore the interpretation of sound for robot decision-making, inspir...
research
∙
08/02/2019
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation
Determining possible failure scenarios is a critical step in the evaluat...
research
∙
05/06/2019
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
Tactical decision making for autonomous driving is challenging due to th...
research
∙
04/28/2019
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
A key challenge for autonomous driving is safe trajectory planning in cl...
research
∙
03/14/2019
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Recent developments in multi-agent imitation learning have shown promisi...
research
∙
03/08/2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
To improve efficiency and reduce failures in autonomous vehicles, resear...
research
∙
10/05/2018
HG-DAgger: Interactive Imitation Learning with Human Experts
Imitation learning has proven to be useful for many real-world problems,...
research
∙
07/22/2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
While imitation learning is often used in robotics, this approach often ...
research
∙
11/03/2017
People as Sensors: Imputing Maps from Human Actions
Despite growing attention in autonomy, there are still many open problem...
research
∙
09/18/2017
