Autonomous Robots - Top 10 Downloaded Articles 2023
We want to thank the authors of our most-downloaded articles during 2023, and highlight to our readers some of the most impactful research to have been published in the journal. We hope that you will find the data interesting.
Large language models for chemistry robotics (this opens in a new tab)
by Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Andrew Zou Li, Yuchi Zhao, Haoping Xu, Artur Kuramshin, Alán Aspuru-Guzik, Florian Shkurti & Animesh Garg
Visuo-haptic object perception for robots: an overview (this opens in a new tab)
by Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski, & Lorenzo Jamone
AGRI-SLAM: a real-time stereo visual SLAM for agricultural environment (this opens in a new tab)
by Rafiqul Islam, Habibullah Habibullah & Tagor Hossain
ProgPrompt: program generation for situated robot task planning using large language models (this opens in a new tab)
by Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason & Animesh Garg
Provident vehicle detection at night for advanced driver assistance systems (this opens in a new tab)
by Lukas Ewecker, Ebubekir Asan, Lars Ohnemus & Sascha Saralajew
A novel framework for generalizing dynamic movement primitives under kinematic constraints (this opens in a new tab)
by Antonis Sidiropoulos, Dimitrios Papageorgiou & Zoe Doulgeri
Point-based metric and topological localisation between lidar and overhead imagery (this opens in a new tab)
by Tim Yuqing Tang, Daniele Martini & Paul Newman
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning (this opens in a new tab)
by Tianyu Wang, Vikas Dhiman & Nikolay Atanasov
An empowerment-based solution to robotic manipulation tasks with sparse rewards (this opens in a new tab)
by Siyu Dai, Wei Xu, Andreas Hofmann & Brian Williams
Collaborative programming of robotic task decisions and recovery behaviors (this opens in a new tab)
by Thomas Eiband, Christoph Willibald, Isabel Tannert, Bernhard Weber & Dongheui Lee