18 citations · 34 across the 7 of their papers we have counts for
18 papers
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
Yifan Zhou, Shubham Sonawani, Mariano Phielipp +2
Language-conditioned policies allow robots to interpret and execute human instructions. Learning such policies requires a substantial investment with regards to time and compute re…
Local Repair of Neural Networks Using Optimization
Keyvan Majd, Siyu Zhou, Heni Ben Amor +2
In this paper, we propose a framework to repair a pre-trained feed-forward neural network (NN) to satisfy a set of properties. We formulate the properties as a set of predicates th…
Multimodal Data Fusion for Power-On-and-Go Robotic Systems in Retail
Shubham Sonawani, Kailas Maneparambil, Heni Ben Amor
Robotic systems for retail have gained a lot of attention due to the labor-intensive nature of such business environments. Many tasks have the potential to be automated via intelli…
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
Geoffrey Clark, Joseph Campbell, Heni Ben Amor
We present Model-Predictive Interaction Primitives -- a robot learning framework for assistive motion in human-machine collaboration tasks which explicitly accounts for biomechanic…
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis, Joseph Campbell, Mariano Phielipp +3
Imitation learning is a popular approach for teaching motor skills to robots. However, most approaches focus on extracting policy parameters from execution traces alone (i.e., moti…
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems
Sai Krishna Bashetty, Heni Ben Amor, Georgios Fainekos
The goal of this paper is to generate simulations with real-world collision scenarios for training and testing autonomous vehicles. We use numerous dashcam crash videos uploaded on…