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Disney Research

Robotics

Reducing Hardware Experiments for Model Learning and Policy Optimization

This paper presents an iterative approach for learning hardware models and optimizing policies with as few hardware experiments as possible.

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Adapting Human Motions to Humanoid Robots Through Time Warping Based on a General Motion Feasibility Index

This paper presents a method for adapting human motions to humanoid robots based on a technique called time warping, which modifies the time line of a reference motion to speed up or slow down the motion.

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Development of a Bipedal Robot that Walks Like an Animation Character

We present a bipedal robot that looks like and walks like an animation character.

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Collision Avoidance for Multiple Agents with Joint Utility Maximization

In this paper a centralized method for collision avoidance among multiple agents is presented

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Object and Animation Display with Multiple Aerial Vehicles

This paper presents a fully automated method to display objects and animations in 3D with a group of aerial vehicles.

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Multi-Robot Formation Control via a Real-Time Drawing Interface

This paper describes a system that takes real-time user input to direct a robot swarm. The user interface is via drawing, and the user can create a single drawing or an animation to be represented by robots.

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Control of Dynamic Gaits for a Quadrupedal Robot

In this paper, we present a control framework for a quadrupedal robot that is capable of locomoting using several gaits

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Playing Catch with Robots: Incorporating Social Gestures into Physical Interactions

This paper investigates the effects of adding gestures to a physical game between a human and a humanoid robot.

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Automatic Task-Specific Model Reduction for Humanoid Robots

This paper presents an automatic model reduction procedure for humanoid robots, which is task-specific.

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Iterative Learning Control for High-Fidelity Tracking of Fast Motions on Entertainment Humanoid Robots

In this paper, we demonstrate a successful application of an iterative learning control algorithm to automate the process of fine tuning choreographed human-speed motions on a 37 degree-of-freedom humanoid robot.

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