Article
Robotics
Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
Summary: This study presents a framework that combines statistical inference technique with a simulator in order to tune warning systems to achieve a provable false negative rate. The framework is applied to driver warning system and robotic grasping application, showing low false detection rate while maintaining the guaranteed false negative rate.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2023)
Article
Robotics
Yafeng Cui, Xin An, Zhonghan Lin, Zhibin Guo, Xin-Jun Liu, Huichan Zhao
Summary: This paper proposes a soft-rigid hybrid pneumatic gripper inspired by the human hand, which can adapt to a wider variety of objects and has enhanced lateral stiffness.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Cristian Jimenez Romero, Alper Yegenoglu, Aaron Perez Martin, Sandra Diaz-Pier, Abigail Morrison
Summary: In this study, the researchers evolved a swarm of agents representing an ant colony and optimized their behavior using an evolutionary algorithm and a spiking neural network. The results show that without explicit rules, communication via pheromones emerged, enabling the ants to perform better in foraging tasks.
SWARM INTELLIGENCE
(2023)
Article
Robotics
Wei Hu, Pei Li, Huzaifa Mustafa Unjhawala, Radu Serban, Dan Negrut
Summary: The article introduces the application of the soil contact model (SCM) in off-road vehicle mobility studies and how to calibrate the SCM terrain through virtual bevameter tests. The research finds that the resulting SCM terrain allows for fast terramechanics simulations and serves as a good proxy for the more complex CRM terrain, with a simulation speedup of roughly one order of magnitude.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Computer Science, Artificial Intelligence
Abderraouf Maoudj, Anders Lyhne Christensen
Summary: Multi-agent path finding is of significant practical relevance in real-world applications with fleets of mobile robots. Existing algorithms often rely on unrealistic assumptions and offline centralized planning, making them unsuitable for implementation on real robots. In this study, we introduce an enhanced decentralized method that improves robot coordination under realistic conditions and accommodates up to 1000 robots.
SWARM INTELLIGENCE
(2023)
Article
Robotics
Ming Xie
Summary: This paper discusses the importance of teachability in making humanoid robots and other systems trainable with the use of natural languages. It presents a top-down design approach and outlines the necessary processes for humanoid robots to gain innate mental capabilities and achieve incremental and deep learning. The paper also highlights the need to separate the study of the mind from the study of the brain. Overall, the content of this paper is crucial for advancing research in AI and achieving human-like self-intelligence in robots and other systems.
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
(2023)
Article
Computer Science, Artificial Intelligence
Meng Liu, Wenbo Zhu, Lufeng Luo, Qinghua Lu, Weichang Yeh, Yunzhi Zhang
Summary: This paper proposes a novel Cauchy DMP framework which improves the efficiency and reduces the error rate in the application of DMP in the 3C industry.
COGNITIVE COMPUTATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
In-Su Kim, Bumjoo Kim, Seok-June Chae, Sahn Nahm
Summary: [001]-oriented NaNbO3 films were deposited on Sr2Nb3O10/TiN/SiO2/Si substrates, exhibiting bipolar switching curve due to oxygen vacancy filaments. Self-rectifying properties were observed in the NaNbO3 memristor, which was powered by the NaNbO3 nanogenerator. This study provides important insights for self-rectifying and self-powered artificial synapses.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Qingchun Zheng, Shubo Li, Peihao Zhu, Wenpeng Ma, Yanlu Wang
Summary: In this study, the authors improve and optimize the Deep Deterministic Policy Gradient (DDPG) algorithm to address the issues of sluggish convergence and poor learning efficiency at the initial stages of training. They improve the selection strategy of DDPG to accelerate the convergence speed and reduce the time it takes for the mobile robot to reach the target point. They also optimize the neural network structure of the DDPG algorithm based on the Long Short-Term Memory to accelerate the algorithm's convergence speed in complex dynamic scenes.
COGNITIVE COMPUTATION AND SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Yang Zhao, Yong Peng, Yudong Wen, Lingjun Han, Yanhong Yan, Xueying Dong, Hui Zhang, Zheng Zhao, Xiaoyue Liu
Summary: This study aims to explore the motor nuclei in the medulla oblongata of carp and identifies the nuclei responsible for steering and forward motion through electrical and chemical stimulation experiments. By adjusting the stimulation parameters, quantitative control of carp motion can be achieved, providing an experimental foundation for accurate control of carp robots.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Weifan Mao, Bin Ma, Zhao Li, Jianxing Zhang, Yizhou Lu, Zhuting Yu, Feng Zhang
Summary: This paper proposes a spatial-temporal graph neural network model, STGNN-LMR, for recognizing lower limb motion from multi-channel sEMG. The model automatically extracts features and shows a significant advantage over traditional feature engineering methods. Experimental results demonstrate the superior recognition accuracy of the STGNN-LMR model, as well as its better performance in noise and failure scenarios.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Robotics
Shangjunnan Liu, Shuhai Liu, Huaping Xiao
Summary: With the popularization of electric vehicles, mobile charging robots have become an effective solution to the charging problem of a large number of electric vehicles. This article improves the gray wolf optimization algorithm and integrates the A* algorithm, enhancing the number of iterations and path length in parking lot path planning.
Article
Robotics
Hartmut Surmann, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Manuel Patchou, Stefan Boecker, Christian Wietfeld, Jan Quenzel, Daniel Schleich, Sven Behnke, Robert Grafe, Nils Heidemann, Dominik Slomma, Ivana Kruijff-Korbayova
Summary: The article introduces three missions conducted by the Robotics Task Force of the German Rescue Robotics Center, in which ground and aerial robots were used to explore destroyed buildings. It also discusses the improvements and evaluations of the robots in real emergency situations.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Robotics
Andre Gross, Christian Schuetze, Mara Brandt, Britta Wrede, Birte Richter
Summary: This article presents the RISE architecture for designing human-robot dialogs and conducting Human-Robot Interaction (HRI) studies. The architecture aims to support interdisciplinary research, reproducibility of research results, and accessibility for other researchers in the field of HRI.
FRONTIERS IN ROBOTICS AND AI
(2023)
Article
Automation & Control Systems
Shirong Zheng, Jiyun Nan, Manh Cuong Hoang, Minghui Nan, Kim Tien Nguyen, Jayoung Kim, Jong-Oh Park, Gwangjun Go, Eunpyo Choi
Summary: A soft-shell capsule endoscope (SSCE) is a new type of gastrointestinal detection tool that has softness properties and highly efficient passability, which can reduce inspection time.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Wenyan Guo, Zhuolin Hou, Fang Dai, Xiaoxia Wang, Yufan Qiang
Summary: Stochastic optimization algorithms have shown great promise in solving complex optimization problems, but often suffer from the issue of being trapped in local optima. To address this problem, the improved bald eagle search optimization algorithm (INMBES) is proposed, which incorporates a random shrinkage mechanism inspired by the properties of a sphere. This mechanism effectively prevents the algorithm from collapsing into local optima, resulting in superior convergence accuracy and successful solutions to practical problems.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Pan Zhang, Jiangtao Luo
Summary: This study proposes a method to address the challenges in object detection for team ball games players. It introduces a multi-scale attention mechanism and a scale equalization algorithm to improve detection accuracy.
FRONTIERS IN NEUROROBOTICS
(2023)
Review
Automation & Control Systems
Jane Pauline Ramirez, Salua Hamaza
Summary: This article reviews the development of multimodal robots that move on the ground and in the air and discusses three design approaches to achieve multimodality. It also explores the challenges and opportunities for future mobile robot deployment.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Robotics
Viviane Kostrubiec, Chloe Lajunta, Pierre-Vincent Paubel, Jeanne Kruck
Summary: This study designed a coordination-cooperation game to teach theory of mind to children with autism spectrum disorder. The results showed that children made the most progress in inferring others' intentions after interacting with a human.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Article
Robotics
Yiwei Wang, Wenyang Li, Shunta Togo, Hiroshi Yokoi, Yinlai Jiang
Summary: This study proposes a 3-DOF coupled tendon-driven humanoid waist with motion characteristics similar to those of the human waist. The waist's tendon routing form is designed based on a 3-DOF coupled tendon-driven joint module that considers the maximum balanced moment in the three directions. Experimental results show that although the trajectory fluctuates greatly during the start and stop phases, it stabilizes when the velocity stabilizes.
