output
19932026
most citedAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

22k citations

Showing 2022 · cs.ROShow all

8 papers · 2 filters

cs.RO2022★ 5 cited

Analytic Estimation of Region of Attraction of an LQR Controller for Torque Limited Simple Pendulum

Lukas Gross, Lasse Maywald, Shivesh Kumar +2

Linear-quadratic regulators (LQR) are a well known and widely used tool in control theory for both linear and nonlinear dynamics. For nonlinear problems, an LQR-based controller is…

cs.RO2022★ 15 cited

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction

Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg +2

Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human's actions and intentions is critical for efficient and effective coll…

cs.RO2022★ 3 cited

Multi-stage warm started optimal motion planning for over-actuated mobile platforms

G. J. Paz-Delgado, C. J. Pérez-del-Pulgar, M. Azkarate +2

This work presents a computationally lightweight motion planner for over-actuated platforms. For this purpose, a general state-space model for mobile platforms with several kinemat…

cs.RO2022★ 3 cited

Continuous ErrP detections during multimodal human-robot interaction

Su Kyoung Kim, Michael Maurus, Mathias Trampler +2

Human-in-the-loop approaches are of great importance for robot applications. In the presented study, we implemented a multimodal human-robot interaction (HRI) scenario, in which a…

cs.RO2022★ 6 cited

Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments

Benjamin Alt, Darko Katic, Rainer Jäkel +1

In both industrial and service domains, a central benefit of the use of robots is their ability to quickly and reliably execute repetitive tasks. However, even relatively simple pe…

cs.RO2022★ 4 cited

Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks

Daniel Harnack, Julie Pivin-Bachler, Nicolás Navarro-Guerrero

Reinforcement learning (RL) has become widely adopted in robot control. Despite many successes, one major persisting problem can be very low data efficiency. One solution is intera…