3 citations · 3 across the 5 of their papers we have counts for
6 papers
Physically Accurate Rigid-Body Dynamics in Particle-Based Simulation
Ava Abderezaei, Nataliya Nechyporenko, Joseph Miceli +2
Robotics demands simulation that can reason about the diversity of real-world physical interactions, from rigid to deformable objects and fluids. Current simulators address this by…
Design, Mapping, and Contact Anticipation with 3D-printed Whole-Body Tactile and Proximity Sensors
Carson Kohlbrenner, Anna Soukhovei, Caleb Escobedo +2
Robots operating in dynamic and shared environments benefit from anticipating contact before it occurs. We present GenTact-Prox, a fully 3D-printed artificial skin that integrates…
A Framework for the Systematic Evaluation of Obstacle Avoidance and Object-Aware Controllers
Caleb Escobedo, Nataliya Nechyporenko, Shreyas Kadekodi +1
Real-time control is an essential aspect of safe robot operation in the real world with dynamic objects. We present a framework for the analysis of object-aware controllers, method…
ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition
Nataliya Nechyporenko, Ryan Hoque, Christopher Webb +2
Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot? We present a system for augm…
A Sensor Position Localization Method for Flexible, Non-Uniform Capacitive Tactile Sensor Arrays
Carson Kohlbrenner, Caleb Escobedo, Nataliya Nechyporenko +1
Tactile sensing is used in robotics to obtain real-time feedback during physical interactions. Fine object manipulation is a robotic application that benefits from a high density o…
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning
Peide Huang, Yuhan Hu, Nataliya Nechyporenko +3
This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in humanlike non-verbal communic…