12 citations · 38 across the 8 of their papers we have counts for
9 papers
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo
Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool +3
We introduce MuJoCo MPC (MJPC), an open-source, interactive application and software framework for real-time predictive control, based on MuJoCo physics. MJPC allows the user to ea…
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo +5
We present a differentiable pipeline for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network. This includes…
Differentiable Collision Detection for a Set of Convex Primitives
Kevin Tracy, Taylor A. Howell, Zachary Manchester
Collision detection between objects is critical for simulation, control, and learning for robotic systems. However, existing collision detection routines are inherently non-differe…
DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons
Kevin Tracy, Taylor A. Howell, Zachary Manchester
Collision detection plays an important role in simulation, control, and learning for robotic systems. However, no existing method is differentiable with respect to the configuratio…
CALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints
Taylor A. Howell, Simon Le Cleac'h, Kevin Tracy +1
We present a new solver for non-convex trajectory optimization problems that is specialized for robotics applications. CALIPSO, or the Conic Augmented Lagrangian Interior-Point SOl…
Dojo: A Differentiable Physics Engine for Robotics
Taylor A. Howell, Simon Le Cleac'h, Jan Brüdigam +5
We present Dojo, a differentiable physics engine for robotics that prioritizes stable simulation, accurate contact physics, and differentiability with respect to states, actions, a…