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Manipulating particles, such as cells and tissues, in a flowing liquid environment is crucial for life science research. Traditional contactless tweezers, although widely used for single-cell manipulation, face several challenges. These…

Fluid Dynamics · Physics 2025-01-07 Yuhong Zhou , Fubao Yang , Jinrong Liu , Gaole Dai , Zixin Li , Xuzhi Zhou , Peng Jin , Jiping Huang

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The…

Robotics · Computer Science 2022-07-01 Kelin Li , Nicholas Baron , Xian Zhang , Nicolas Rojas

The Internet of Things (IoT) is emerging as a multi-purpose technology with enormous potential for improving the quality of life in several areas. In particular, IoT has been applied in agriculture to make it more sustainable ecologically.…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Vitor Alexandre Campos Figueiredo , Samuel Mafra , Joel Rodrigues

We demonstrate a miniature, fiber-coupled optical tweezer to trap a single atom. The same fiber is used to trap a single atom and to read out its fluorescence. To obtain a low background level, the tweezer light is chopped, and we measure…

Quantum Physics · Physics 2013-10-15 Sébastien Garcia , Dominik Maxein , Leander Hohmann , Jakob Reichel , Romain Long

We develop an integrated system of holographic optical trapping and multimodal nonlinear microscopy and perform simultaneous three-dimensional optical manipulation and non-invasive structural imaging of composite soft-matter systems. We…

Soft Condensed Matter · Physics 2015-05-20 Rahul P. Trivedi , Taewoo Lee , Kris A. Bertness , Ivan I. Smalyukh

3D multi-object tracking is an important component in robotic perception systems such as self-driving vehicles. Recent work follows a tracking-by-detection pipeline, which aims to match past tracklets with detections in the current frame.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-11 Xinshuo Weng , Kris Kitani

Acoustic tweezers can manipulate microscopic objects and cells independently of the optical, magnetic and electrical properties of the objects or their medium. However, because ultrasonic waves are attenuated within few millimeters,…

Fluid Dynamics · Physics 2022-03-29 Qing Wang , Shuhan Chen , Jia Zhou , Antoine Riaud

Movable single atoms have drawn significant attention for their potentials as flying quantum memory in non-local, dynamic quantum computing architectures. However, when dynamic optical tweezers are employed to control atoms…

Since its invention by Arthur Ashkin and colleagues at Bell Labs in the 1970s, optical micromanipulation, also known as optical tweezers or laser tweezers, has evolved remarkably to become one of the most convenient and versatile tools for…

Soft Condensed Matter · Physics 2026-02-05 Sanatan Halder , Debojit Chanda , Dibyendu Mondal , Sandip Kundu , Manas Khan

Optical tweezers are widely used as a highly sensitive tool to measure forces on micron-scale particles. One such application is the measurement of the electric charge of a particle, which can be done with high precision in liquids, air, or…

In a lot of scientific problems, there is the need to generate data through the running of an extensive number of experiments. Further, some tasks require constant human intervention. We consider the problem of crack detection in steel…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Chinmay Makarand Pimpalkhare , D. N. Pawaskar

Optical dipole-traps are used in various scientific fields, including classical optics, quantum optics and biophysics. Here, we propose and implement a dipole-trap for nanoparticles that is based on focusing from the full solid angle with a…

Experiments using laser cooled atoms and ions show real promise for practical applications in quantum- enhanced metrology, timing, navigation, and sensing as well as exotic roles in quantum computing, networking and simulation. The heart of…

Instrumentation and Detectors · Physics 2015-06-19 Joseph Rushton , Matthew Aldous , Matt Himsworth

Nowadays robots play an increasingly important role in our daily life. In human-centered environments, robots often encounter piles of objects, packed items, or isolated objects. Therefore, a robot must be able to grasp and manipulate…

Robotics · Computer Science 2022-10-06 Hamidreza Kasaei , Mohammadreza Kasaei

The ultimate goal of artificial intelligence is to mimic the human brain to perform decision-making and control directly from high-dimensional sensory input. Diffractive optical networks provide a promising solution for implementing…

Machine Learning · Computer Science 2024-05-31 Jumin Qiu , Shuyuan Xiao , Lujun Huang , Andrey Miroshnichenko , Dejian Zhang , Tingting Liu , Tianbao Yu

Autonomous aerial robots are increasingly being deployed in real-world scenarios, where transparent obstacles present significant challenges to reliable navigation and mapping. These materials pose a unique problem for traditional…

Robotics · Computer Science 2025-10-09 Malakhi Hopkins , Varun Murali , Vijay Kumar , Camillo J Taylor

Microfabrication using nano- to micron-sized building blocks holds great potential for applications in next-generation electronics, optoelectronics, and advanced materials. However, traditional methods like chemical vapor deposition and…

Advancements in scientific instrument sensors and connected devices provide unprecedented insight into ongoing experiments and present new opportunities for control, optimization, and steering. However, the diversity of sensors and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-04 Jakob R. Elias , Ryan Chard , Maksim Levental , Zhengchun Liu , Ian Foster , Santanu Chaudhuri

Optical tactile sensors are extensively utilized in intelligent robot manipulation due to their ability to acquire high-resolution tactile information at a lower cost. However, achieving adequate reality and versatility in simulating…

Robotics · Computer Science 2024-05-07 Zirong Shen , Yuhao Sun , Shixin Zhang , Zixi Chen , Heyi Sun , Fuchun Sun , Bin Fang

Autonomous laboratories promise to accelerate discovery by coupling learning algorithms with robotic experimentation, yet adoption remains limited by fragmented software that separates high-level planning from low-level execution. Here we…

Computational Engineering, Finance, and Science · Computer Science 2025-12-29 Jing Gao , Junhan Chang , Haohui Que , Yanfei Xiong , Shixiang Zhang , Xianwei Qi , Zhen Liu , Jun-Jie Wang , Qianjun Ding , Xinyu Li , Ziwei Pan , Qiming Xie , Zhuang Yan , Junchi Yan , Linfeng Zhang