activity
20232026
most citedTeaching Robots to Build Simulations of Themselves

8 citations · 19 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.RO2024★ 1 cited

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration

Jiong Lin, Lechen Zhang, Kwansoo Lee +3

Robot description models are essential for simulation and control, yet their creation often requires significant manual effort. To streamline this modeling process, we introduce Au…

cs.RO2024★ 4 cited

Robot Metabolism: Towards machines that can grow by consuming other machines

Philippe Martin Wyder, Riyaan Bakhda, Meiqi Zhao +17

Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines…

cs.AI2024

The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability

Judah Goldfeder, Victoria Dean, Zixin Jiang +4

Commercial buildings account for 17% of U.S. carbon emissions, with roughly half of that from Heating, Ventilation, and Air Conditioning (HVAC). HVAC devices form a complex thermod…

cs.LG2024

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks

Judah Goldfeder, Quinten Roets, Gabe Guo +2

Inferring the exact parameters of a neural network with only query access is an NP-Hard problem, with few practical existing algorithms. Solutions would have major implications for…

physics.comp-ph2024★ 1 cited

Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data

Gabe Guo, Tristan Saidi, Maxwell Terban +3

A major challenge in materials science is the determination of the structure of nanometer sized objects. Here we present a novel approach that uses a generative machine learning mo…

cs.RO2024

Reconfigurable Robot Identification from Motion Data

Yuhang Hu, Yunzhe Wang, Ruibo Liu +2

Integrating Large Language Models (VLMs) and Vision-Language Models (VLMs) with robotic systems enables robots to process and understand complex natural language instructions and v…