Inverse kinematics problem in robotics using neural networks

By Benjamin B. Choi, C. Lawrence. 1992

Subfields: Reinforcement Learning, Robotics & Control

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In Reinforcement Learning

1. Anh Totti Nguyen
2. Long Mai

Citations in the corpus

• Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects (2018, methodology): “), we parameterized each rotation angle θi as (cos(θi), sin(θi))—a technique commonly used for pose estimation [30] and inverse kinematics [11]—which maps the Cartesian plane to angles via the atan2 function.”