Dribblebot: Dynamic legged manipulation in the wild

Y Ji, GB Margolis, P Agrawal - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
DribbleBot (Dexterous Ball Manipulation with a Legged Robot) is a legged robotic system
that can dribble a soccer ball under the same real-world conditions as humans. We identify …

Prospects for joint cosmic ray and neutrino constraints on the evolution of trans-Greisen-Zatsepin-Kuzmin proton sources

MS Muzio, M Unger, S Wissel - Physical Review D, 2023 - APS
We consider the prospects for future ultrahigh energy cosmic ray and neutrino observations
to constrain the evolution of sources producing a proton flux above 10 EeV (1 EeV= 10 18 …

A survey of research on several problems in the RoboCup3D simulation environment

Z Gao, M Yi, Y Jin, H Zhang, Y Hao, M Yin, Z Cai… - Autonomous Agents and …, 2024 - Springer
In the process of robot research and development, due to the vulnerability of hardware,
simulation environment is often used to verify and test algorithms first. RoboCup3D …

Vision-Based Deep Reinforcement Learning of UAV-UGV Collaborative Landing Policy Using Automatic Curriculum

C Wang, J Wang, C Wei, Y Zhu, D Yin, J Li - Drones, 2023 - mdpi.com
Collaborative autonomous landing of a quadrotor Unmanned Aerial Vehicle (UAV) on a
moving Unmanned Ground Vehicle (UGV) presents challenges due to the need for accurate …

Designing a Skilled Soccer Team for RoboCup: Exploring skill-set-primitives through reinforcement learning

M Abreu, LP Reis, N Lau - arXiv preprint arXiv:2312.14360, 2023 - arxiv.org
The RoboCup 3D Soccer Simulation League serves as a competitive platform for
showcasing innovation in autonomous humanoid robot agents through simulated soccer …

Double Deep Reinforcement Learning

J Kiefer, K Dorer - 2023 IEEE international conference on …, 2023 - ieeexplore.ieee.org
In many application areas, Deep Reinforcement Learning (DRL) has led to breakthroughs.
In Curriculum Learning, the Machine Learning algorithm is not randomly presented with …

A Multiobjective Collaborative Deep Reinforcement Learning Algorithm for Jumping Optimization of Bipedal Robot

C Tao, M Li, F Cao, Z Gao… - Advanced Intelligent …, 2024 - Wiley Online Library
Due to the nonlinearity and underactuation of bipedal robots, developing efficient jumping
strategies remains challenging. To address this, a multiobjective collaborative deep …

Analysis of Mobile Robot Control by Reinforcement Learning Algorithm

J Bernat, P Czopek, S Bartosik - Electronics, 2022 - mdpi.com
This work presents a Deep Reinforcement Learning algorithm to control a differentially
driven mobile robot. This study seeks to explain the influence of different definitions of the …

Optimal Leg Linkage Design for Horizontal Propel of a Walking Robot Using Non-dominated Sorting Genetic Algorithm

B Omarov, S Ibrayev, A Ibrayeva, B Amanov… - IEEE …, 2024 - ieeexplore.ieee.org
In the ever-evolving domain of robotic locomotion, leg linkage design emerges not just as an
intricate engineering puzzle, but also as a decisive element in realizing optimal horizontal …

Enhancing Humanoid Robot Soccer Ball Tracking, Goal Alignment, and Robot Avoidance Using YOLO-NAS

H Jati, NA Ilyasa, DD Dominic - Journal of Robotics and Control …, 2024 - journal.umy.ac.id
This research aims to enhance humanoid robot soccer Ball Tracking, Goal Alignment, and
Robot avoidance tasks using YOLO-NAS. The study followed a three-stage approach …