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Disney Research

Robotics

Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot

We present an automated learning environment for developing control policies directly on the hardware of a modular legged robot.

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Computational Co-Optimization of Design Parameters and Motion Trajectories for Robotic Systems

We present a novel computational approach to optimizing the morphological design of robots.

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Stickman: Towards a Human Scale Acrobatic Robot

We present a simple two degree of freedom robot that uses a gravity-driven pendulum launch and produces a variety of somersaulting stunts.

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Design and Fabrication of a Soft Robotic Hand and Arm System

We present the hardware design and fabrication of a soft arm and hand for physical human-robot interaction.

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Exploration of Geometry and Forces Occurring within Human-to-Robot Handovers

This work presents an exploratory user study of human-to-robot handovers. In particular, it examines how changes in a robot behavior influence human participation and the overall interaction.

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Evaluating Social Perception of Human-to-Robot Handovers Using the Robot Social Attributes Scale (RoSAS)

This work explores social perceptions of robots within the domain of human-to-robot handovers.

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Validation of the Robot Social Attributes Scale (RoSAS) for Human-Robot Interaction through a Human-to-Robot Handover Use Case

This work aims to validate the Robotic Social Attributes Scale (RoSAS) for human-robot interaction.

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Toward Torque Control of a KUKA LBR IIWA for Physical Human-Robot Interaction

In this paper, we examine joint torque tracking as well as estimation of external torques for the KUKA Lightweight Robot (LBR) IIWA.

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Handshakiness: Benchmarking for Human-Robot Hand Interactions

We present results from human studies with the benchmarking experiments, providing a baseline for comparison with robot hands as well as presenting new insights into human handshaking.

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Falling with Style: Sticking the Landing by Controlling Spin during Ballistic Flight

In this paper, we examine the sensing and actuation necessary for a mechanism to alter its fall under a high rate of spin.

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