3 citations · 4 across the 5 of their papers we have counts for
6 papers
Higher-order Interpretations of Deepcode, a Learned Feedback Code
Yingyao Zhou, Natasha Devroye, Gyorgy Turan +1
We present an interpretation of Deepcode, a learned feedback code that showcases higher-order error correction relative to an earlier interpretable model. By interpretation, we mea…
Proactive Robot Control for Collaborative Manipulation Using Human Intent
Zhanibek Rysbek, Siyu Li, Afagh Mehri Shervedani +1
Collaborative manipulation task often requires negotiation using explicit or implicit communication. An important example is determining where to move when the goal destination is…
Recognizing Intent in Collaborative Manipulation
Zhanibek Rysbek, Ki Hwan Oh, Milos Zefran
Collaborative manipulation is inherently multimodal, with haptic communication playing a central role. When performed by humans, it involves back-and-forth force exchanges between…
Interpreting Training Aspects of Deep-Learned Error-Correcting Codes
N. Devroye, A. Mulgund, R. Shekhar +3
As new deep-learned error-correcting codes continue to be introduced, it is important to develop tools to interpret the designed codes and understand the training process. Prior wo…
An End-to-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration
Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3
This paper proposes a neural network-based user simulator that can provide a multimodal interactive environment for training Reinforcement Learning (RL) agents in collaborative tas…
Group-based control of large-scale micro-robot swarms with on-board Physical Finite-State Machines
Siyu Li, Milos Zefran, Igor Paprotny
An important problem in microrobotics is how to control a large group of microrobots with a global control signal. This paper focuses on controlling a large-scale swarm of MicroStr…