110 citations · 322 across the 29 of their papers we have counts for
6 papers · 1 filter
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park, Yuuna Hoshi, Charles C. Kemp
The detection of anomalous executions is valuable for reducing potential hazards in assistive manipulation. Multimodal sensory signals can be helpful for detecting a wide range of…
Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot
Haoping Bai, Haofeng Chen, Elizabeth Healy +2
In this paper we focus on analyzing the thermal modality of tactile sensing for material recognition using a large materials database. Many factors affect thermal recognition perfo…
Learning Human Behaviors for Robot-Assisted Dressing
Alexander Clegg, Wenhao Yu, Jie Tan +3
We investigate robotic assistants for dressing that can anticipate the motion of the person who is being helped. To this end, we use reinforcement learning to create models of huma…
Deep Haptic Model Predictive Control for Robot-Assisted Dressing
Zackory Erickson, Henry M. Clever, Greg Turk +2
Robot-assisted dressing offers an opportunity to benefit the lives of many people with disabilities, such as some older adults. However, robots currently lack common sense about th…
Tracking Human Pose During Robot-Assisted Dressing using Single-Axis Capacitive Proximity Sensing
Zackory Erickson, Maggie Collier, Ariel Kapusta +1
Dressing is a fundamental task of everyday living and robots offer an opportunity to assist people with motor impairments. While several robotic systems have explored robot-assiste…
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
Zackory Erickson, Sonia Chernova, Charles C. Kemp
Material recognition enables robots to incorporate knowledge of material properties into their interactions with everyday objects. For example, material recognition opens up opport…