Results 71 to 80 of about 11,294 (297)

Dynamic obstacle avoidance and evaluation base on neural network

, 2023
The aim of this dissertation is to address the issue of dynamic obstacle avoidance in robotics. By combining genetic algorithms and neural network technology, a novel dynamic obstacle avoidance control system is developed. The dissertation introduces the
Li, Qi
core  

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

Extensions to Reactive Self-Collision Avoidance for Torque and Position Controlled Humanoids

, 2011
One of the fundamental demands on robotic systems is a safe interaction with their environment. For fulfilling that condition, both collisions with obstacles and the own structure have to be avoided.
Hirzinger, Gerd, Albu-Schäffer, Alin Olimpiu, Holger Taubig, Wimböck, Thomas, Alin Albu-Schaffer, Gerd Hirzinger, Dietrich, Alexander, Alexander Dietrich, Thomas Wimbock, Täubig, Holger   +9 more
core   +1 more source

Optimization of multi-vehicle obstacle avoidance based on improved artificial potential field method with PID control

Frontiers in Energy Research
In the context of multi-vehicle formation, obstacle avoidance in unknown environments presents a number of challenges, including obstacles near the target, susceptibility to local minima, and dynamic obstacle avoidance.
Weigang Yan, Xi Wu, Guanghong Liang
doaj   +1 more source

Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions

Advanced Materials, EarlyView.
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng, Yu Xuan Yeoh, Nicholas Yong Wei Foo, Keerthana Radhakrishnan, Guo Zhan Lum   +4 more
wiley   +1 more source

Dynamic Obstacle Avoidance for Autonomous Undersea Vehicles via VO-PPO

水下无人系统学报
Efficient and safe dynamic obstacle avoidance is crucial for autonomous underwater vehicles(AUV) performing military missions. To address the high collision risk and slow convergence of conventional reinforcement learning-based approaches in AUV obstacle-
Tao ZHANG, Xiangguang ZENG, Min LI, Dijie XIE, Wenzhe REN, Bei PENG   +5 more
doaj   +1 more source

Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics

IEEE Transactions on Robotics
Controlling complex tasks in robotic systems, such as circular motion for cleaning or following curvy lines, can be dealt with using nonlinear vector fields. In this paper, we introduce a novel approach called rotational obstacle avoidance method (ROAM) for adapting the initial dynamics when the workspace is partially occluded by obstacles.
Huber, Lukas, Slotine, Jean-Jacques, Billard, Aude, Huber, Lukas   +3 more
openaire   +2 more sources

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR

, 2009
Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
core