activity
20192025
most citedSafe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions

9 citations · 31 across the 25 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.RO2024

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation

Hanjiang Hu, Yujie Yang, Tianhao Wei +1

Control barrier functions (CBFs) are important in safety-critical systems and robot control applications. Neural networks have been used to parameterize and synthesize CBFs with bo…

cs.LG2024

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction

Weiye Zhao, Feihan Li, Yifan Sun +4

Enforcing state-wise safety constraints is critical for the application of reinforcement learning (RL) in real-world problems, such as autonomous driving and robot manipulation. Ho…

cs.RO2024

WeHelp: A Shared Autonomy System for Wheelchair Users

Abulikemu Abuduweili, Alice Wu, Tianhao Wei +1

There is a large population of wheelchair users. Most of the wheelchair users need help with daily tasks. However, according to recent reports, their needs are not properly satisfi…

cs.CV2024

Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods

Xusheng Luo, Tianhao Wei, Simin Liu +6

This work addresses the certification of the local robustness of vision-based two-stage 6D object pose estimation. The two-stage method for object pose estimation achieves superior…

eess.SY2024★ 4 cited

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis

Yujie Yang, Hanjiang Hu, Tianhao Wei +2

Hamilton-Jacobi (HJ) reachability analysis provides a formal method for guaranteeing safety in constrained control problems. It synthesizes a value function to represent a long-ter…

cs.LG2024

ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks

Tianhao Wei, Hanjiang Hu, Luca Marzari +4

Deep Neural Networks (DNN) are crucial in approximating nonlinear functions across diverse applications, ranging from image classification to control. Verifying specific input-outp…

cs.RO2024★ 1 cited

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills

Tianhao Wei, Liqian Ma, Rui Chen +2

The requirements for real-world manipulation tasks are diverse and often conflicting; some tasks require precise motion while others require force compliance; some tasks require av…