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ORCIDRobotics and Autonomous Systems, Volume 167
Volume 167, September 2023
- Daniel W. Tigard
, Maximilian Braun, Svenja Breuer, Konstantin Ritt, Amelia Fiske, Stuart McLennan, Alena Buyx:
Toward best practices in embedded ethics: Suggestions for interdisciplinary technology development. 104467 - Qingfeng Yao, Cong Wang, Jilong Wang, Linghan Meng, Shuyu Yang, Qifeng Zhang, Donglin Wang:
Adaptive legged manipulation: Versatile disturbance predictive control for quadruped robots with robotic arms. 104468 - Gabriel Costa, João Pinho, Miguel Ayala Botto, Pedro U. Lima:
Online learning of MPC for autonomous racing. 104469 - Davide Brugali:
Modeling variability in self-adapting robotic systems. 104470 - Abdullatif Baba, Basil Alothman:
A fuzzy logic-based stabilization system for a flying robot, with an embedded energy harvester and a visual decision-making system. 104471 - Szu-Tung Chen, Gülcin Ermis, Alexei Sharpanskykh:
Multi-agent planning and coordination for automated aircraft ground handling. 104480 - Michael Bombile, Aude Billard:
Bimanual dynamic grabbing and tossing of objects onto a moving target. 104481 - Tomás Báca, Robert Penicka, Petr Stepan, Matej Petrlík, Vojtech Spurný, Daniel Hert, Martin Saska:
Autonomous cooperative wall building by a team of Unmanned Aerial Vehicles in the MBZIRC 2020 competition. 104482 - Daniele Sartori, Danping Zou, Ling Pei, Wenxian Yu:
Near-optimal 3D trajectory design in presence of obstacles: A convolutional neural network approach. 104483 - Shangliang Wu, Guangyu Liu, Yanxin Zhang, Anke Xue:
A fast and accurate compound collision detector for RRT motion planning. 104484 - Christiaan J. Müller, Corné E. van Daalen:
Map point selection for visual SLAM. 104485 - Fatemeh Mahdavi Golmisheh, Saeed Shamaghdari:
Distributed safe formation maneuver control of Euler-Lagrange multi-agent systems in a partially unknown environment by safe reinforcement learning. 104486 - Vladislav Nenchev:
Model checking embedded adaptive cruise controllers. 104488 - Jingyu Chen, Ruidong Ma, John Oyekan:
A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads. 104489 - Yi Zhao, Jiacheng Yang, Shaocong Wang, Xiaohui Li:
Towards One Shot & Pick All: 3D-OAS, an end-to-end framework for vision guided top-down parcel bin-picking using 3D-overlapping-aware instance segmentation and GNN. 104491
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