1 citations · 1 across the 1 of their papers we have counts for
6 papers
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
Fernando Castañeda, Jason J. Choi, Bike Zhang +2
Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) are popular tools for enforcing safety and stability of a controlled system, respectively. They are commonly…
Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change
Suiyi He, Jun Zeng, Bike Zhang +1
This paper develops a new control design for guaranteeing a vehicle's safety during lane change maneuvers in a complex traffic environment. The proposed method uses a finite state…
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics
Fernando Castañeda, Jason J. Choi, Bike Zhang +2
This paper presents a method to design a min-norm Control Lyapunov Function (CLF)-based stabilizing controller for a control-affine system with uncertain dynamics using Gaussian Pr…
Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization
Chenyu Yang, Bike Zhang, Jun Zeng +2
The feet of robots are typically used to design locomotion strategies, such as balancing, walking, and running. However, they also have great potential to perform manipulation task…
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
Jun Zeng, Bike Zhang, Koushil Sreenath
The optimal performance of robotic systems is usually achieved near the limit of state and input bounds. Model predictive control (MPC) is a prevalent strategy to handle these oper…
Feedback Control for Autonomous Riding of Hovershoes by a Cassie Bipedal Robot
Shuxiao Chen, Jonathan Rogers, Bike Zhang +1
Motivated towards achieving multi-modal locomotion, in this paper, we develop a framework for a bipedal robot to dynamically ride a pair of Hovershoes over various terrain. Our dev…