18 citations · 30 across the 6 of their papers we have counts for
7 papers
DataJoint 2.0: A Computational Substrate for Agentic Scientific Workflows
Dimitri Yatsenko, Thinh T. Nguyen
Operational rigor determines whether human-agent collaboration succeeds or fails. Scientific data pipelines need the equivalent of DevOps -- SciOps -- yet common approaches fragmen…
Bridging the Regulatory Divide: Ensuring Safety and Equity in Wearable Health Technologies
Akshay Kelshiker, Susan Cheng, Jivan Achar +7
As wearable health technologies have grown more sophisticated, the distinction between "wellness" and "medical" devices has become increasingly blurred. While some features undergo…
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
Minh Hoang Nguyen, Van Dai Do, Dung Nguyen +2
Large language model (LLM) agents-especially smaller, open-source models-often produce causally invalid or incoherent actions in collaborative tasks due to their reliance on surfac…
AHMsys: An Automated HVAC Modeling System for BIM Project
Long Hoang Dang, Duy-Hung Nguyen, Thai Quang Le +3
This paper presents a novel system, named AHMsys, designed to automate the process of generating 3D Heating, Ventilation, and Air Conditioning (HVAC) models from 2D Computer-Aided…
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation
ALOHA 2 Team, Jorge Aldaco, Travis Armstrong +23
Diverse demonstration datasets have powered significant advances in robot learning, but the dexterity and scale of such data can be limited by the hardware cost, the hardware robus…
SciOps: Achieving Productivity and Reliability in Data-Intensive Research
Erik C. Johnson, Thinh T. Nguyen, Benjamin K. Dichter +16
Scientists are increasingly leveraging advances in instruments, automation, and collaborative tools to scale up their experiments and research goals, leading to new bursts of disco…
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan +32
We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the abilit…