activity
20172024
most citedDeep Haptic Model Predictive Control for Robot-Assisted Dressing

75 citations · 85 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2024

BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed

Abhishek Tandon, Anujraaj Goyal, Henry M. Clever +1

Accurately predicting the 3D human posture and the pressure exerted on the body for people resting in bed, visualized as a body mesh (3D pose & shape) with a 3D pressure map, holds…

cs.RO2021★ 8 cited

Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations

Henry M. Clever, Ankur Handa, Hammad Mazhar +7

Sharing autonomy between robots and human operators could facilitate data collection of robotic task demonstrations to continuously improve learned models. Yet, the means to commun…

cs.RO2021★ 2 cited

The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environments

Charles C. Kemp, Aaron Edsinger, Henry M. Clever +1

Mobile manipulators for indoor human environments can serve as versatile devices that perform a variety of tasks, yet adoption of this technology has been limited. Reducing size, w…

cs.CV2021

BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image

Henry M. Clever, Patrick Grady, Greg Turk +1

Contact pressure between the human body and its surroundings has important implications. For example, it plays a role in comfort, safety, posture, and health. We present a method t…

cs.RO2021

Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction

Zackory Erickson, Henry M. Clever, Vamsee Gangaram +4

Towards the goal of robots performing robust and intelligent physical interactions with people, it is crucial that robots are able to accurately sense the human body, follow trajec…

cs.RO2020

Material Recognition via Heat Transfer Given Ambiguous Initial Conditions

Tapomayukh Bhattacharjee, Henry M. Clever, Joshua Wade +1

Humans and robots can recognize materials with distinct thermal effusivities by making physical contact and observing temperatures during heat transfer. This works well with room t…

cs.CV2020

Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data

Henry M. Clever, Zackory Erickson, Ariel Kapusta +3

People spend a substantial part of their lives at rest in bed. 3D human pose and shape estimation for this activity would have numerous beneficial applications, yet line-of-sight p…

cs.RO2019

Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing

Zackory Erickson, Henry M. Clever, Vamsee Gangaram +3

Robotic assistance presents an opportunity to benefit the lives of many people with physical disabilities, yet accurately sensing the human body and tracking human motion remain di…

cs.RO2018

3D Human Pose Estimation on a Configurable Bed from a Pressure Image

Henry M. Clever, Ariel Kapusta, Daehyung Park +3

Robots have the potential to assist people in bed, such as in healthcare settings, yet bedding materials like sheets and blankets can make observation of the human body difficult f…

cs.RO2017★ 75 cited

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…