6 papers
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…
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…
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…
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…
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…
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…