activity
20242026
most citedSafe Multi-Robotic Arm Interaction via 3D Convex Shapes

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Learning Robust Control Lyapunov Functions through Lipschitz Neural Networks

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

This work presents a novel framework for learning robust control Lyapunov functions and stabilizing controllers for nonlinear dynamical systems subject to additive disturbances upp…

cs.AI2026

RESCORE: LLM-Driven Simulation Recovery in Control Systems Research Papers

Vineet Bhat, Shiqing Wei, Ali Umut Kaypak +3

Reconstructing numerical simulations from control systems research papers is often hindered by underspecified parameters and ambiguous implementation details. We define the task of…

cs.RO2025

A Differentiable Distance Metric for Robotics Through Generalized Alternating Projection

Vinicius M. Gonçalves, Shiqing Wei, Eduardo Malacarne S. de Souza +3

In many robotics applications, it is necessary to compute not only the distance between the robot and the environment, but also its derivative - for example, when using control bar…

cs.RO2025★ 1 cited

Safe Multi-Robotic Arm Interaction via 3D Convex Shapes

Ali Umut Kaypak, Shiqing Wei, Prashanth Krishnamurthy +1

Inter-robot collisions pose a significant safety risk when multiple robotic arms operate in close proximity. We present an online collision avoidance methodology leveraging High-Or…

eess.SY2024

Data-Efficient System Identification via Lipschitz Neural Networks

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neur…

eess.SY2024

Collision Avoidance for Convex Primitives via Differentiable Optimization Based High-Order Control Barrier Functions

Shiqing Wei, Rooholla Khorrambakht, Prashanth Krishnamurthy +2

Ensuring the safety of dynamical systems is crucial, where collision avoidance is a primary concern. Recently, control barrier functions (CBFs) have emerged as an effective method…

eess.SY2024

Confidence-Aware Safe and Stable Control of Control-Affine Systems

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

Designing control inputs that satisfy safety requirements is crucial in safety-critical nonlinear control, and this task becomes particularly challenging when full-state measuremen…