Researchers mapped a five-stage roadmap for magnetic soft robots to advance minimally invasive medicine, including untethered and tethered designs for various applications. The review highlights the importance of standardized testing, biocompatibility validation, and clinical validation to bring these promising robots from laboratory p...
Researchers developed a deep reinforcement learning approach to predict network latency trends, enabling telesurgical systems to anticipate and adapt to changing communication conditions. The model achieved high accuracy in predicting direction and value of future latency changes, providing valuable information for latency mitigation.
Developed by researchers at Harbin Institute of Technology, the T-800 data glove captures rapid hand movements up to 100 Hz, surpassing conventional systems. The system's synchronization mechanism and spatial calibration framework enable accurate reconstruction of full-hand gestures.
Microrobots are designed for highly localized biomedical tasks, including targeted drug delivery, minimally invasive diagnosis, and cell- or tissue-level therapeutic intervention. Magnetic actuation is identified as a promising approach due to its ability to penetrate biological tissues and integrate with medical imaging technologies.
Researchers are developing brain-inspired hardware that integrates memory and computation, enabling robots to process information in parallel with minimal energy use. The new systems mimic the event-driven processing of the human brain, allowing robots to achieve perception, decision-making, and action with human-like efficiency.
The book captures the AI moment through a chorus of perspectives from science, business, art, journalism, and media, challenging and complementing each other to reveal tensions and contradictions. It paints a vivid picture of how AI is reshaping our self-understanding and what it discloses about us.
Small-body sampling robots rely on sampling, mobility, and anchoring technologies to interact with weak-gravity surfaces. The review summarizes the development of these technologies and discusses their interaction in real mission scenarios.
Scientists create functional machines using DNA, adapting macro-scale robotics principles for nanoscale performance. Control strategies use biochemical methods and physical stimuli to direct movement.
Scientists develop a simpler route-sensing signal to support accurate control in tendon-sheath mechanisms, opening doors to more compact and adaptable robotic systems. They found that friction-induced elongation is governed by the accumulated curve angle, enabling a comprehensive feedforward control framework.
Researchers developed a novel magnetorheological fluid-based soft robot with reversible t robot with reversible for precise targeting of gastrointestinal tract diseases. The robot demonstrated stable flip, steering, and folding motions, as well as reliable movement performance under load, and successfully attached to the drug release p...
The dual-coil magnetic guidewire robot offers improved steering capabilities, switching between three modes for better curvature control and branch entry. The robot's design and control enable safer and more consistent procedures by reducing unintended vessel-wall interaction and enhancing access to small, tortuous, and branching targets.
This review constructs a tripartite analytical framework for ionogel actuators, covering material construction, actuation mechanisms, and system integration. It presents a function-oriented classification of materials and evaluates the applicability of seven distinct actuation modes.
Recent advancements in flexible electronics have transformed robotic systems, allowing for conformal integration of electronic components and autonomous decision-making. Flexible devices have improved operational accuracy and transformed the interaction methods of robots, laying the foundation for intelligent robotics development.
Researchers create a powerful modular soft origami actuator that enables high-speed, agile movements in search and rescue applications. The Electrohydraulic Origami (EHO) actuator achieves remarkable dynamic performance, outperforming existing soft actuators.
Researchers develop soft fiber-like pumps powered by ambient energy to drive the next generation of robots and wearable devices. The innovation enables robots that operate autonomously and wearable devices that provide comfort without cumbersome batteries.
Researchers developed a new robot self-modeling approach using part-based Neural Radiance Fields, eliminating the need for depth sensors and human annotation. The system enables robots to build dynamic 3D models of themselves, accelerating the deployment of autonomous machines in unpredictable environments.
A new survey provides a three-module framework for Embodied AI, addressing perception, decision-making and execution. The goal is to develop general-purpose intelligent agents that can perform complex tasks like cleaning the room.
Researchers developed a 3D lattice iontronic sensor that accurately detects sophisticated tactile interactions by linearizing both electrical responses and mechanical behaviors. The sensor, comprising a hydrogel lattice encapsulated in an origami-inspired framework, enables precise detection under extreme dynamic loading.
Researchers develop autonomous nano-robotic systems that utilize scanning electron microscopy for real-time visual feedback, enabling high-precision manipulation of nano-objects. The integration of machine learning-enhanced vision algorithms and novel actuation techniques facilitates adaptive, perception-driven atomic engineering.
A groundbreaking soft robot has been engineered to perceive and respond to multiple environmental cues simultaneously. Weighing just 8 milligrams, it can carry a payload 2.5 times its own body weight over complex terrain, showcasing impressive agility and strength.
Intelligent inspection robots use advanced sensor technologies and artificial intelligence to detect structural defects in real time, offering high efficiency and precision. However, they face technical challenges such as maintaining stability and achieving fully autonomous decision-making.