We present a method for learning 3D geometry and physics parameters of a dynamic scene
from only a monocular RGB video input. To decouple the learning of underlying scene …

We present a method for differentiable simulation of soft articulated bodies. Our work
enables the integration of differentiable physical dynamics into gradient-based pipelines …

We present a robot learning and planning framework that produces an effective tool-use
strategy with the least joint efforts, capable of handling objects different from training …

This work proposes a model-reduction approach for the material point method on nonlinear
manifolds. Our technique approximates the kinematics by approximating the deformation …

Fish outperform current underwater robots in speed, agility, and efficiency of locomotion, in
part due to their flexible appendages that are capable of rich combinations of modes of …

Aerial vehicle missions require navigating trade-offs during design, such as the range,
speed, maneuverability, and size. Multi-modal aerial vehicles enable this trade-off to be …

Bi-stable mechanisms can remain in two positions without a power input or locking system.
These mechanisms can achieve large displacements with low energy, requiring power only …

Contact-aware topology optimization faces challenges in robustness, accuracy, and
applicability to internal structural surfaces under self-contact. This work builds on the …

This work proposes a model-reduction approach for the material point method on nonlinear
manifolds. The technique approximates the kinematics by approximating the deformation …

The drag coefficient plays a vital role in the design and optimization of robots that move
through fluids. From aircraft to underwater vehicles, their geometries are specially …