Massachusetts Institute of Technology

Basf Se Corporation

University of Missouri

Wan Shou

Wojciech Matusik

Michael J Foshey

Tomas Apostol Palacios

Klaus H Stoll

Bernhard Ulrich Von Vacano

Antonio Torralba

Heng Pan

Timothy P Erps

Hanns Hagen Goetzke

Yiyue Luo

Pratyusha Sharma

Yunzhu Li

Chinmoy Podder

Mina Konakovic Lukovic

Xiaowei Yu

Systems and methods are provided for estimating 3D poses of a subject based on tactile interactions with the ground. Test subject interactions with the ground are recorded using a sensor system along with reference information (e.g., synchronized video information) for use in correlating tactile information with specific 3D poses, e.g., by training a neural network based on the reference information. Then, tactile information received in response to a given subject interacting with the ground can be used to estimate the 3D pose of the given subject directly, i.e., without reference to corresponding reference information. Certain exemplary embodiments use a sensor system in the form of a pressure sensing carpet or mat, although other types of sensor systems using pressure or other sensors can be used in various alternative embodiments.

Systems and methods for estimating 3D position and movement from tactile signals

A method for manufacturing a component comprising bombarding nanoparticles in a dispersion with a laser to transform the ligand and cause the nanoparticles to drop out of the dispersion and deposit onto a substrate; and bombarding additional nanoparticles in the dispersion with the laser to transform the ligand and cause the nanoparticles to drop out of the dispersion and deposit onto the nanoparticles previously deposited out of the dispersion.

Three-dimensional laser-assisted printing of structures from nanoparticles

Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.

Systems and methods for formulating material in a data-driven manner

Growing community of inventors

Allston, MA, United States of America

Wan Shou