69 citations · 92 across the 5 of their papers we have counts for
5 papers
Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
Yunsheng Tian, Jie Xu, Yichen Li +5
Assembly planning is the core of automating product assembly, maintenance, and recycling for modern industrial manufacturing. Despite its importance and long history of research, p…
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Singh Bhatia, Holly Jackson, Yunsheng Tian +2
Both the design and control of a robot play equally important roles in its task performance. However, while optimal control is well studied in the machine learning and robotics com…
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu +8
Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software. CAD designers build up these assemblies by alignin…
AutoOED: Automated Optimal Experiment Design Platform
Yunsheng Tian, Mina Konaković Luković, Timothy Erps +2
We present AutoOED, an Optimal Experiment Design platform powered with automated machine learning to accelerate the discovery of optimal solutions. The platform solves multi-object…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…