49 citations · 49 across the 3 of their papers we have counts for
6 papers
Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks
Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi +6
In this study, toward addressing the over-confident outputs of existing artificial intelligence-based colorectal cancer (CRC) polyp classification techniques, we propose a confiden…
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…
Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Zackory Erickson, Vamsee Gangaram, Ariel Kapusta +2
Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people worldwide. Yet, conducting research in this area presents…
Task-centric Optimization of Configurations for Assistive Robots
Ariel Kapusta, Charles C. Kemp
Robots can provide assistance to a human by moving objects to locations around the person's body. With a well chosen initial configuration, a robot can better reach locations impor…
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…
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…