Results 81 to 90 of about 258,499 (296)

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles

IEEE Access
The adoption of autonomous vehicles (AVs) significantly increased in recent years, playing a crucial role in enhancing transportation safety and efficiency, expanding mobility options, and reducing user costs.
Abhijeet Solanki, Wesam Al Amiri, Marim Mahmoud, Blaine Swieder, Syed Rafay Hasan, Terry N. Guo   +5 more
doaj   +1 more source

A Simulator For Robot Navigation Algorithms

, 2010
{"references": ["Mobile Robotics. (2009, September 7). Retrieved September 27, 2009,\nfrom Wikipedia: http://en.wikipedia.org/wiki/Mobile_robotics", "FIRST Robotics. (2009, May 13). FIRST At A Glance. Retrieved\nSeptember 27, 2009, from USFIRST.org:\nhttp://www.usfirst.org/aboutus/content.aspx?id=160", "Trinity College.
Michael A. Folcik, Bijan Karimi
openaire   +2 more sources

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

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

Development of an Initial Burial Rate Estimation Simulator for Bottom-Contact Mines and a Reinforcement Learning-Based Mine-Laying Route Optimization Method

Journal of Marine Science and Engineering
In modern naval operations, the strategic value of naval mines has been increasingly emphasized, highlighting the need for intelligent and efficient deployment strategies. This study proposes integrated framework that combines mine burial rate estimation
Su Hwan Kim, Young Seo Park, Se Won Kim
doaj   +1 more source

Manoeuvring Simulation on the Bridge for Predicting Motion of Real Ships and as Training Tool in Ship Handling Simulators [PDF]

TransNav, 2009
International sea transport has growing rapidly during the period of the last decade. Ships became larger and wider and its container capacity is still increasing to 12.000 TEU and even more.
Knud Benedict, Matthias Kirchhoff, Michael Gluch, Sandro Fischer, Michael Baldauf   +4 more
doaj  

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Simulation of Ship Movement after Steering System Failure to Determine the Worst Case Scenario of Grounding

Promet (Zagreb), 2013
Ship grounding is one of the primary maritime navigation casualties and a result of an error made by the navigating officer, of a technical failure on vital ship equipment or of force majeure.
Đani Mohović, Robert Mohović, Igor Rudan   +2 more
doaj   +1 more source