Technical Directions
Robotics coverage relating to manipulation.
471 selected reportsLast 30 days 407 recordsAll coverage 1,228 records
The article covers a wide range of robotics and embodied AI developments, including product launches, industry events, and technological advancements. It highlights key players such as Agility Robotics, Figure AI, and others, showcasing their latest innovations in humanoid robots, industrial applications, and AI integration. The content also includes major funding rounds, new product releases, and real-world deployment examples across various sectors.
Researchers from EPFL's Soft Transducers Laboratory have developed FiberMotor, a threadlike motor that converts electrical energy into motion through the sliding of concentric fibers. This gearless design enables flexible, bidirectional movement, making it suitable for soft robotic applications. The motor's small size and lightweight construction allow for integration into smart textiles and wearable devices, with potential uses in assistive robotics and haptic systems.
Carnegie Mellon Robotics Institute and Northrop Grumman are collaborating to develop a new docking technique for servicing satellites in geosynchronous orbit. The project involves precise robotic manipulation, simulation environments, and specialized actuators, with the goal of enabling in-orbit refueling, repairs, and upgrades. The work builds on prior research in robotic manipulation and has potential implications for space operations and satellite maintenance.
This platform aims to serve as a reference interface for physical AI, allowing developers to deploy Skild Brain models across various robotic bodies. The BRIDGE platform is designed to reduce the cost of adapting AI models to different robot bodies and is intended to become a standard in the industry. The release of BRIDGE is part of Skild AI's broader strategy to define the future of embodied AI and physical robot interfaces.
Quantopian, a Hong Kong-listed company, is advancing its 'physical AI' strategy by testing robotic solutions in real-world restaurant environments. The company's approach emphasizes real-world data and iterative model training to improve robotic dexterity and task execution. A recent demo showed a robot successfully completing a 12-step process of making hand-pressed lemon tea, demonstrating its ability to handle complex, dynamic tasks in real-world settings.
The article explores how industrial robots are continuously optimized and adjusted in real production environments to meet factories' demands for continuous operation, high precision, and task completeness. Through the failure analysis of Figure 02 in the BMW factory, improvements to the UBTech Walker S1 and S2, and the deployment of Agility Digit in warehouses, the article demonstrates how robots adapt their design, endurance, and task execution capabilities to specific workstation requirements. The article emphasizes that factories not only define the functional boundaries of robots but also determine their technical priorities and product iteration directions.
The article explores how industrial robots are being shaped by factory environments.
The Embodied-AI-Guide is a detailed tutorial and resource hub for understanding and practicing embodied intelligence. It covers foundational concepts, practical implementation with RoboTwin 2.0, and insights into the field's research and development. The guide is structured to help users build a solid understanding of the domain, from data collection to algorithmic design and evaluation, with a focus on real-world deployment and simulation-based learning.
TouchScale is a 500-hour human vision-touch dataset collected using a unified sensor setup, enabling scaling benefits in both perception and robotic manipulation. The dataset improves robot task success rates through mid-training with human data, demonstrating the potential of large-scale human experience in training embodied agents.
Agilink's OmniHand 3 Ultra, trained by a master of Suzhou embroidery, has learned to split silk strands, thread a needle, and stitch with precision. The hand uses vision-based sensors and direct-drive mechanics for fine control. The article contrasts this with other robotic hands, such as LinkerBot and Boston Dynamics' Atlas hand, to explore different approaches to dexterous manipulation in robotics.
Aigen has developed a simulation and world-model system that trains its autonomous agricultural robots to work with new crops in under a week. The Alchemy platform generates synthetic, pixel-level annotated data for training solar-powered 'Element' robots, which can identify and remove weeds without herbicides. The robots are being deployed in fields with real-world data grounding, and Element Gen 2 X4 models are used by Fortune 500 companies for weed control and data collection.
This article presents a comprehensive guide to implementing embodied intelligence education in robotics, focusing on the integration of physical interaction, sensor data, and real-world problem-solving. It outlines a four-stage model for transitioning from classroom to industrial application, emphasizing sensor calibration, algorithm visualization, and real-world testing. The tutorial includes practical insights, common pitfalls, and real-world examples to support educators and students in developing hands-on, industry-relevant skills.
These products form a closed-loop system for robotic manipulation, aiming to improve speed, precision, and tactile perception in real-world tasks.
NVIDIA released G1-Factory-GR00T-1.7, a GR00T N1.7 vision-language-action policy fine-tuned on nine simulation tasks for the Unitree G1 humanoid robot. The model takes head-camera images and joint states to predict whole-body actions and serves as a baseline for reinforcement learning post-training. It is available under the NVIDIA Open Model License for commercial and non-commercial use, with evaluation results reported only in simulation.
Carnegie Mellon University researchers have developed a robotic fingertip that enables robots to handle delicate tasks, such as picking up fragile or tiny objects like pills and potato chips. The fingertip, which attaches to the DeltaHands device, uses a strain gauge and contact microphone to measure pressure and capture microvibrations, allowing the robot to sense and manipulate objects with greater precision. The low-cost, 3D-printable design offers versatility for a range of tasks, from counting paper cups to identifying material compositions through vibrations. The work was presented at the 2026 Intelligent Robots and Systems Conference.
The IROS 2026 conference highlights a shift towards long-term tasks, failure recovery, and world modeling in robotics. The event showcases advancements in perception, planning, and control, with a focus on real-world applications and standardized testing. The integration of tactile and force feedback, along with data collection tools, reflects a growing emphasis on embodied intelligence and simulation-to-reality transitions.
Before humanoid robots mature, Physical AI is attempting to enter industrial scenarios still reliant on manual operations by deploying on mature robotic arms. Companies like Sanctuary AI and Skild are integrating AI models into robotic arms from different manufacturers to perform complex tasks such as wire insertion.
The Cobot Magic platform features a modular, high-precision design with Tracer differential chassis and PiPER six-axis arms, supporting ROS frameworks and open-source algorithms. It integrates multi-modal perception systems and enables data collection for tasks like precision assembly and home care, with a 50% reduction in development time and 30-50% cost savings compared to traditional solutions.
The article discusses the surge in welding robot orders in the shipbuilding industry, driven by the need for automation and efficiency. It highlights the growth of the market, key players like Fao Robot and Zhongxun Technology, and the technological advancements in AI-driven systems and collaborative robots. The text also addresses challenges in complex welding scenarios and the importance of adaptability and reliability in robotic solutions.
Pudong is accelerating the formation of an embodied intelligence industry ecosystem, driving the deployment of humanoid robots in commercial, public services, and rehabilitation medical scenarios. Companies such as Zhiyuan, Furuiyi, and Mifeng Technology have showcased multiple robot products and data platforms, promoting embodied intelligence technology from laboratories to large-scale applications.
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).