From predictive modelling to machine learning and reverse engineering of colloidal self-assembly

M Dijkstra, E Luijten - Nature materials, 2021 - nature.com
An overwhelming diversity of colloidal building blocks with distinct sizes, materials and
tunable interaction potentials are now available for colloidal self-assembly. The application …

[HTML][HTML] Selenium in cattle: a review

Y Mehdi, I Dufrasne - Molecules, 2016 - mdpi.com
This review article examines the role of selenium (Se) and the effects of Se supplementation
especially in the bovine species. Selenium is an important trace element in cattle. Some of …

Versatile multicontact planning and control for legged loco-manipulation

JP Sleiman, F Farshidian, M Hutter - Science Robotics, 2023 - science.org
Loco-manipulation planning skills are pivotal for expanding the utility of robots in everyday
environments. These skills can be assessed on the basis of a system's ability to coordinate …

The waymo open sim agents challenge

N Montali, J Lambert, P Mougin… - Advances in …, 2023 - proceedings.neurips.cc
Simulation with realistic, interactive agents represents a key task for autonomous vehicle
software development. In this work, we introduce the Waymo Open Sim Agents Challenge …

Cvxnet: Learnable convex decomposition

B Deng, K Genova, S Yazdani… - Proceedings of the …, 2020 - openaccess.thecvf.com
Any solid object can be decomposed into a collection of convex polytopes (in short,
convexes). When a small number of convexes are used, such a decomposition can be …

Bunny-visionpro: Real-time bimanual dexterous teleoperation for imitation learning

R Ding, Y Qin, J Zhu, C Jia, S Yang, R Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots
with bimanual dexterous hands remains a challenge. Existing teleoperation systems …

Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach

AH Khan, S Li, X Luo - IEEE transactions on industrial …, 2019 - ieeexplore.ieee.org
In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …

Motion planning with sequential convex optimization and convex collision checking

J Schulman, Y Duan, J Ho, A Lee… - … Journal of Robotics …, 2014 - journals.sagepub.com
We present a new optimization-based approach for robotic motion planning among
obstacles. Like CHOMP (Covariant Hamiltonian Optimization for Motion Planning), our …

Approximate convex decomposition for 3d meshes with collision-aware concavity and tree search

X Wei, M Liu, Z Ling, H Su - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
Approximate convex decomposition aims to decompose a 3D shape into a set of almost
convex components, whose convex hulls can then be used to represent the input shape. It …

Chomp: Covariant hamiltonian optimization for motion planning

M Zucker, N Ratliff, AD Dragan… - … journal of robotics …, 2013 - journals.sagepub.com
In this paper, we present CHOMP (covariant Hamiltonian optimization for motion planning),
a method for trajectory optimization invariant to reparametrization. CHOMP uses functional …