We consider the problem of learning error covariance matrices for roboti...
We present SLoMo: a first-of-its-kind framework for transferring skilled...
Multibody dynamics simulators are an important tool in many fields, incl...
We present Aquarium, a differentiable fluid-structure interaction solver...
We present a differentiable formulation of rigid-body contact dynamics f...
We present an open-source Visual-Inertial-Leg Odometry (VILO) state
esti...
Collision detection between objects is critical for simulation, control,...
Collision detection plays an important role in simulation, control, and
...
Recent years have seen the rapid deployment of low-cost CubeSats in low-...
We present a new solver for non-convex trajectory optimization problems ...
We present a differentiable rigid-body-dynamics simulator for robotics t...
Many tasks in deep learning involve optimizing over the inputs to a
netw...
We present a framework for bi-level trajectory optimization in which a
s...
We present a general approach for controlling robotic systems that make ...
Model-based paradigms for decision-making and control are becoming ubiqu...
Dynamic games are an effective paradigm for dealing with the control of
...
Existing game-theoretic planning methods assume that the robot knows the...
Managing uncertainty is a fundamental and critical issue in spacecraft e...
We present an approach for approximately solving discrete-time stochasti...
System identification is a key step for model-based control, estimator
d...
Model-based methods are the dominant paradigm for controlling robotic
sy...
Most dynamic simulation tools parameterize the configuration of multi-bo...
Dynamic games are an effective paradigm for dealing with the control of
...
Many robotics applications, from object manipulation to locomotion, requ...
Learning accurate dynamics models is necessary for optimal, compliant co...
Many problems in modern robotics can be addressed by modeling them as bi...
Planning locomotion trajectories for legged microrobots is challenging
b...