activity
20172026
most citedGenLoco: Generalized Locomotion Controllers for Quadrupedal Robots

17 citations · 45 across the 43 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

eess.SY2020

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…

cs.RO20202 cited

Animated Cassie: A Dynamic Relatable Robotic Character

Zhongyu Li, Christine Cummings, Koushil Sreenath

Creating robots with emotional personalities will transform the usability of robots in the real world. As previous emotive social robots are mostly based on statically stable robot…

cs.RO2020

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…

eess.SY2020

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…

eess.SY20206 cited

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning

Fernando Castañeda, Mathias Wulfman, Ayush Agrawal +4

The main drawbacks of input-output linearizing controllers are the need for precise dynamics models and not being able to account for input constraints. Model uncertainty is common…

eess.SY2020

Robust Safety-Critical Control for Dynamic Robotics

Quan Nguyen, Koushil Sreenath

We present a novel method of optimal robust control through quadratic programs that offers tracking stability while subject to input and state-based constraints as well as safety-c…