Large language models (LLMs) pre-trained on vast internet-scale data hav...
In this paper, we focus on non-conservative obstacle avoidance between r...
Obstacle avoidance for multi-robot navigation with polytopic shapes is
c...
We present a sim-to-real learning-based approach for real-world humanoid...
This work introduces a novel control strategy called Iterative Linear
Qu...
This work aims to push the limits of agility for bipedal robots by enabl...
Learning-based control approaches have shown great promise in performing...
This paper presents a safety-critical locomotion control framework for
q...
We present a reinforcement learning (RL) framework that enables quadrupe...
Safety is one of the fundamental challenges in control theory. Recently,...
Recent years have seen a surge in commercially-available and affordable
...
Learning-based control schemes have recently shown great efficacy perfor...
Recent advances in the reinforcement learning (RL) literature have enabl...
We address the problem of enabling quadrupedal robots to perform precise...
This paper tackles the problem of robots collaboratively towing a load w...
Bridging model-based safety and model-free reinforcement learning (RL) f...
Tethered quadcopters are used for extended flight operations where the
n...
In this paper, we propose a multi-domain control parameter learning fram...
Our goal is to enable robots to perform functional tasks in emotive ways...
Contact-rich robotic systems, such as legged robots and manipulators, ar...
Control barrier functions (CBFs) have become a popular tool to enforce s...
This paper presents a novel planning and control strategy for competing ...
Obstacle avoidance between polytopes is a challenging topic for optimal
...
Developing controllers for obstacle avoidance between polytopes is a
cha...
Quadrupeds are strong candidates for navigating challenging environments...
Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) a...
Safety is one of the fundamental problems in robotics. Recently, one-ste...
This paper proposes a state estimator for legged robots operating in sli...
An autonomous robot that is able to physically guide humans through narr...
Developing robust walking controllers for bipedal robots is a challengin...
Autonomous systems like aircraft and assistive robots often operate in
s...
This paper presents a method to design a min-norm Control Lyapunov Funct...
Creating robots with emotional personalities will transform the usabilit...
The feet of robots are typically used to design locomotion strategies, s...
The optimal performance of robotic systems is usually achieved near the ...
We present a novel method of optimal robust control through quadratic
pr...
In this paper, the issue of model uncertainty in safety-critical control...
The main drawbacks of input-output linearizing controllers are the need ...
Energy sources such as batteries do not decrease in mass after consumpti...
Using quadrotors UAVs for cooperative payload transportation using cable...
Motivated towards achieving multi-modal locomotion, in this paper, we de...
This paper presents a design methodology for feedback control policy tha...
Dynamic bipedal walking on discrete terrain, like stepping stones, is a
...