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06/15/2023
Evolutionary Curriculum Training for DRL-Based Navigation Systems
In recent years, Deep Reinforcement Learning (DRL) has emerged as a prom...
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06/10/2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Realistic and controllable traffic simulation is a core capability that ...
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03/10/2023
Zero-Shot Object Searching Using Large-scale Object Relationship Prior
Home-assistant robots have been a long-standing research topic, and one ...
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10/31/2022
Guided Conditional Diffusion for Controllable Traffic Simulation
Controllable and realistic traffic simulation is critical for developing...
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10/23/2022
Guided Skill Learning and Abstraction for Long-Horizon Manipulation
To assist with everyday human activities, robots must solve complex long...
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09/22/2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Task planning can require defining myriad domain knowledge about the wor...
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09/19/2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Trajectory prediction is essential for autonomous vehicles (AVs) to plan...
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08/26/2022
BITS: Bi-level Imitation for Traffic Simulation
Simulation is the key to scaling up validation and verification for robo...
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07/29/2022
Robust Trajectory Prediction against Adversarial Attacks
Trajectory prediction using deep neural networks (DNNs) is an essential ...
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12/12/2020
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Imitation Learning is a promising paradigm for learning complex robot ma...
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11/17/2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Planning in realistic environments requires searching in large planning ...
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03/13/2020
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Imitation learning is an effective and safe technique to train robot pol...
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11/01/2019
Positive-Unlabeled Reward Learning
Learning reward functions from data is a promising path towards achievin...
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09/28/2019
Regression Planning Networks
Recent learning-to-plan methods have shown promising results on planning...
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08/24/2019
Situational Fusion of Visual Representation for Visual Navigation
A complex visual navigation task puts an agent in different situations w...
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08/16/2019
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
We address one-shot imitation learning, where the goal is to execute a p...
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07/02/2019
Procedure Planning in Instructional Videos
We propose a new challenging task: procedure planning in instructional v...
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01/15/2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
A key technical challenge in performing 6D object pose estimation from R...
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07/10/2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
Our goal is for a robot to execute a previously unseen task based on a s...
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11/29/2017
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
We present PointFusion, a generic 3D object detection method that levera...
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10/04/2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
In this work, we propose a novel robot learning framework called Neural ...
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01/10/2017
Scene Graph Generation by Iterative Message Passing
Understanding a visual scene goes beyond recognizing individual objects ...
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07/15/2016
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects
Robotic manipulation of deformable objects is a difficult problem especi...
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04/02/2016