activity
20232026
most citedDiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

4 citations · 5 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2026

PoSafeNet: Safe Learning with Poset-Structured Neural Nets

Kiwan Wong, Wei Xiao, Daniela Rus

Safe learning is essential for deploying learningbased controllers in safety-critical robotic systems, yet existing approaches often enforce multiple safety constraints uniformly o…

cs.CV2025

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models

Haoyang Wu, Tsun-Hsuan Wang, Mathias Lechner +7

Surgical workflow analysis is essential in robot-assisted surgeries, yet the long duration of such procedures poses significant challenges for comprehensive video analysis. Recent…

cs.LG2025

DataS^3: Dataset Subset Selection for Specialization

Neha Hulkund, Alaa Maalouf, Levi Cai +15

In many real-world machine learning (ML) applications (e.g. detecting broken bones in x-ray images, detecting species in camera traps), in practice models need to perform well on s…

cs.RO2024

Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features

Makram Chahine, Alex Quach, Alaa Maalouf +2

End-to-end learning directly maps sensory inputs to actions, creating highly integrated and efficient policies for complex robotics tasks. However, such models often struggle to ge…

cs.CV2024

Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering

Fouad Makiyeh, Mark Bastourous, Anass Bairouk +7

Autonomous vehicle navigation is a key challenge in artificial intelligence, requiring robust and accurate decision-making processes. This research introduces a new end-to-end meth…

cs.CV2024

Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference

Huy-Dung Nguyen, Anass Bairouk, Mirjana Maras +6

Autonomous driving systems require a comprehensive understanding of the environment, achieved by extracting visual features essential for perception, planning, and control. However…

cs.LG2024

ABNet: Attention BarrierNet for Safe and Scalable Robot Learning

Wei Xiao, Tsun-Hsuan Wang, Daniela Rus

Safe learning is central to AI-enabled robots where a single failure may lead to catastrophic results. Barrier-based method is one of the dominant approaches for safe robot learnin…

cs.RO2023★ 4 cited

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma +6

Nature evolves creatures with a high complexity of morphological and behavioral intelligence, meanwhile computational methods lag in approaching that diversity and efficacy. Co-opt…

cs.CL2023

Uncertainty-aware Language Modeling for Selective Question Answering

Qi Yang, Shreya Ravikumar, Fynn Schmitt-Ulms +9

We present an automatic large language model (LLM) conversion approach that produces uncertainty-aware LLMs capable of estimating uncertainty with every prediction. Our approach is…

cs.RO2023

Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions

Zach J. Patterson, Wei Xiao, Emily Sologuren +1

Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength…

cs.RO2023★ 1 cited

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao +5

As autonomous driving technology matures, end-to-end methodologies have emerged as a leading strategy, promising seamless integration from perception to control via deep learning.…

cs.RO2023

Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning

Makram Chahine, Roya Firoozi, Wei Xiao +2

Game-theoretic motion planners are a powerful tool for the control of interactive multi-agent robot systems. Indeed, contrary to predict-then-plan paradigms, game-theoretic planner…

eess.SY2023

Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions

Wei Xiao, Ross Allen, Daniela Rus

This paper addresses the problem of safety-critical control for non-affine control systems. It has been shown that optimizing quadratic costs subject to state and control constrain…