Results 61 to 70 of about 9,369 (286)

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Supplementary Material for: Screening of Serum miRNAs as Diagnostic Biomarkers for Lung Cancer Using the Minimal-Redundancy-Maximal-Relevance Algorithm and Random Forest Classifier Based on a Public Database [PDF]

, 2022
Background: Lung cancer is one of the deadliest cancers, early diagnosis of which can efficiently enhance patient’s survival. We aimed to screening out the serum miRNAs as diagnostic biomarkers for patients with lung cancer.
Chen X. (2888087), Wang W. (2888099), Huang X. (3704077)   +2 more
core   +1 more source

Classification model based on mRMR and factorization machines algorithm

四川大学学报. 自然科学版, 2020
Many scholars have made some achievements in aggregation analysis of terrorist events by using the data set of "Global Terrorism Research Database"(GTD) with game theory, knearestneighbor method and support vector machine.
Wangmei, Long Hua, Shao Yubin, Du Qingzhi   +3 more
doaj  

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

An Efficient Rateless Scheme Based on the Extendibility of Systematic Polar Codes

IEEE Access, 2017
In this paper, a new rateless scheme based on the extendibility of systematic polar codes is proposed, which is applicable for the scenario without channel state information (CSI).
Bowen Feng, Qinyu Zhang, Jian Jiao
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

A Modified Adaptive Hybrid FEC/ARQ Protocol Using Turbo Codes with Incremental Redundancy Transmission [PDF]

, 1999
In a wireless environment, an FEC or ARQ scheme may be insufficient to achieve the desired performance due to the time-varying nature of the channel. In this paper, we propose a modified adaptive hybrid FEC/ARQ scheme using turbo codes with incremental ...
Lau, Chihang, Law, Chi F., Ko, Tszmei
core   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

The Functional Effects of Key Driver KRAS Mutations on Gene Expression in Lung Cancer

Frontiers in Genetics, 2020
Lung cancer is a common malignant cancer. Kirsten rat sarcoma oncogene (KRAS) mutations have been considered as a key driver for lung cancers. KRAS p.G12C mutations were most predominant in NSCLC which was comprised about 11–16% of lung adenocarcinomas ...
Jisong Zhang, Huihui Hu, Shan Xu, Hanliang Jiang, Jihong Zhu, E. Qin, Zhengfu He, Enguo Chen   +7 more
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source