research
∙
09/12/2023
Probabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches
Ubiquitous robot control and human-robot collaboration using smart devic...
share
research
∙
08/19/2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
This paper introduces a novel state estimation framework for robots usin...
research
∙
08/19/2023
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
This paper introduces a novel approach for modeling the dynamics of soft...
research
∙
03/12/2023
Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
Guaranteeing safety in human-centric applications is critical in robot l...
research
∙
03/08/2023
Safe Robot Learning in Assistive Devices through Neural Network Repair
Assistive robotic devices are a particularly promising field of applicat...
research
∙
12/03/2022
Learning and Blending Robot Hugging Behaviors in Time and Space
We introduce an imitation learning-based physical human-robot interactio...
research
∙
08/01/2022
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies
In this paper, we discuss a framework for teaching bimanual manipulation...
research
∙
09/28/2021
Local Repair of Neural Networks Using Optimization
In this paper, we propose a framework to repair a pre-trained feed-forwa...
research
∙
03/23/2021
Multimodal Data Fusion for Power-On-and-GoRobotic Systems in Retail
Robotic systems for retail have gained a lot of attention due to the lab...
research
∙
11/13/2020
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
We present Model-Predictive Interaction Primitives – a robot learning fr...
research
∙
10/22/2020
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Imitation learning is a popular approach for teaching motor skills to ro...
research
∙
03/26/2020
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems
The goal of this paper is to generate simulations with real-world collis...
research
∙
01/29/2020
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
Accurate real-time pose estimation of spacecraft or object in space is a...
research
∙
01/07/2020
Foveated Haptic Gaze
As digital worlds become ubiquitous via video games, simulations, virtua...
research
∙
12/05/2019
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation
In this paper, we propose SwarmNet – a neural network architecture that ...
research
∙
11/26/2019
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
In this work we propose a novel end-to-end imitation learning approach w...
research
∙
11/15/2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
Model-free reinforcement learning algorithms such as Deep Deterministic ...
research
∙
11/15/2019
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Humans and animals are capable of quickly learning new behaviours to sol...
research
∙
09/16/2019
Multimodal Dataset of Human-Robot Hugging Interaction
A hug is a tight embrace and an expression of warmth, sympathy and camar...
research
∙
08/15/2019
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives
Musculoskeletal robots that are based on pneumatic actuation have a vari...
research
∙
08/14/2019
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
Human-robot interaction benefits greatly from multimodal sensor inputs a...
research
∙
04/04/2018
Information Maximizing Exploration with a Latent Dynamics Model
All reinforcement learning algorithms must handle the trade-off between ...
research
∙
11/28/2017
Deep Predictive Models for Collision Risk Assessment in Autonomous Driving
In this paper, we investigate a predictive approach for collision risk a...
research
∙
07/27/2015
