digid GmbH
DigiD develops large-scale 3D interaction datasets and synthetic data infrastructure for robotic manipulation. Its platform supports physics-consistent object modeling, grasp simulation, and multimodal training pipelines to accelerate embodied AI development and real-world task generalization.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Robbyant Unveils LingBot-Depth 2.0 with Enhanced Spatial Perception for Robotics
Chinese AI company Robbyant has launched LingBot-Depth 2.0, a next-generation spatial perception model designed to enhance robotic navigation in complex environments. This model builds on the previous LingBot-Depth, utilizing the Masked Depth Modeling technique and trained on 150 million samples, achieving top results in 12 out of 16 depth completion benchmarks. Notably, it reduces depth error by over 50%, improving accuracy in challenging indoor settings. The significance of LingBot-Depth 2.0 lies in its ability to accurately perceive transparent and reflective surfaces, areas where traditional depth cameras often struggle. The model's advancements are attributed to LingBot-Vision, a visual foundation model that employs a unique “boundary structure” pre-training objective, enabling sub-pixel-level boundary localization. Despite being trained on a smaller dataset of 160 million images, it demonstrates robust performance across various robotic vision applications, enhancing object boundary detection and tracking. Looking ahead, Robbyant's collaboration with Orbbec aims to integrate LingBot-Depth 2.0 into new hardware solutions for robotics data collection. The RGB-D EGO device, part of Orbbec’s Robot-Free Data Collection Hardware Platform, will feature a customized version of the model. Future updates are expected to further enhance depth completion and spatial structure understanding, providing a solid foundation for training embodied AI systems in real-world scenarios. No further timeline was disclosed at the time of publication.
AI and Robotics
MIT and EPFL Develop Flapping Robot for Seamless Water-Air Transition with Advanced Wing Design
Researchers from MIT and EPFL have created a flapping robot capable of transitioning between water and air without legs. Weighing approximately 250 grams, the robot features a streamlined body, two flexible wings, and a controllable tail. It can flap its wings at frequencies of up to 6 Hz underwater and 5.2 to 11 Hz in the air, mimicking the behavior of diving birds, as detailed in a recent Science publication. This innovation is significant as it addresses the complex physical challenges of transitioning from water to air, a feat that most diving birds achieve with the aid of their legs. The robot's flexible wings reduce drag and allow for a higher flapping frequency underwater compared to rigid wings. This design not only enhances its swimming efficiency but also aligns with biological observations of diving birds, providing insights into their locomotion strategies. Looking ahead, the research team is exploring optimal wing configurations and has tested various sizes and stiffnesses. Future experiments will focus on the robot's ability to transition from water to air solely through wing flapping, a critical milestone that could reveal more about the mechanics of avian flight and inspire advancements in robotic design. No further timeline was disclosed at the time of publication.
Flapping Robots Aerial Robotics Aquatic Robotics Bio-inspired Engineering
Ant Group Launches LingBot-VA 2.0 with Advanced Spatial Awareness and Vision Models
On July 10, Ant Group introduced LingBot-VA 2.0, the first embodied native action model in the industry. This release marks the culmination of their full-stack 2.0 model series, featuring advancements in spatial perception and real-time interaction. The launch has generated significant buzz across international platforms like Reddit and Hugging Face, indicating a strong interest in their technology. The significance of LingBot-VA 2.0 lies in its comprehensive technology stack, which includes LingBot-Depth 2.0 and LingBot-Vision. LingBot-Depth 2.0 enhances depth perception with a training dataset expanded from 3 million to 150 million, achieving top scores in 12 out of 16 benchmarks. Meanwhile, LingBot-Vision introduces a novel pre-training target, improving depth estimation accuracy despite using a smaller dataset compared to competitors. Looking ahead, the next steps for Ant Group involve further collaboration with industry partners, as LingBot-Depth 2.0 has already received professional certification from Orbbec. The company is also focusing on integrating their models into the industry, with no further timeline disclosed at the time of publication for upcoming releases or partnerships.
Robotics AI Machine Learning Computer Vision
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
JAIST and King's College Develop EleTac Soft Gripper with Integrated Tactile Sensing
Researchers from Japan's JAIST and King's College London have developed EleTac, a soft robotic gripper inspired by the trunk of an elephant. This innovative design integrates grasping, external tactile perception, and proprioception within a single soft structure. The gripper can manipulate various objects, including tofu and fabric, while estimating contact position and force using a vacuum system operating at 30 kPa. The significance of EleTac lies in its ability to handle delicate and irregularly shaped items, addressing the challenges of soft robotics. Traditional rigid grippers utilize clear joints for sensing, while soft grippers often struggle with limited perception due to their material properties. EleTac's design allows for continuous tactile sensing across its surface, enhancing its ability to discern between self-induced deformations and external contacts. Future developments will focus on refining the visual-based tactile sensing capabilities of EleTac, which utilizes an internal optical system to monitor material deformation. This advancement could lead to improved performance in applications requiring precise manipulation of fragile objects. No further timeline was disclosed at the time of publication.
Soft Robotics Tactile Sensing Proprioception Robotic Grippers
Seoul University Introduces Single-Layer Artificial Skin for Enhanced Robotic Sensory Perception
On July 10, a research team led by Professor Seung Hwan Ko at Seoul University published a significant study in Nature Materials, unveiling a novel single-layer artificial skin. This innovative material allows robots to simultaneously sense temperature and pressure, mimicking human sensory capabilities. The design utilizes a silver-core-copper oxide shell nanowire network, enabling rapid switching between temperature and mechanical sensing modes at a frequency of 16 Hz. The development is crucial as it addresses the limitations of existing artificial skin technologies, which typically rely on multiple stacked sensors, resulting in complex structures and slower response times. The new sensor demonstrates remarkable response speeds, with mechanical stimuli detected in microseconds and thermal stimuli in milliseconds. When combined with AI models, the sensor's accuracy in object recognition improved from 65% to 95% by integrating signals from both sensing modes, showcasing its potential for real-world applications. Looking ahead, the research team has created a multi-array platform that can measure temperature and pressure distribution with spatial resolution comparable to human skin. This technology not only serves as a fingertip sensor but also has the potential to evolve into a comprehensive artificial skin system for robots. The team emphasizes that this advancement is a key enabling technology for physical AI systems, allowing machines to perceive and interact with their environment more effectively. No further timeline was disclosed at the time of publication.
Artificial Skin Robotics Sensor Technology AI Human-Robot Interaction
XSTO Mobility Launches $28,000 X12 Stair-Climbing Robot with AI and LiDAR Technology
XSTO Mobility has unveiled the X12 all-terrain mobility robot, priced at $27,999, designed to assist wheelchair users in overcoming stairs and other obstacles. Weighing approximately 115 kg and capable of carrying up to 136 kg, the X12 features a hybrid wheel-track chassis that allows it to navigate stairs autonomously, with a climbing speed of 25 steps per minute and descending speed of 30 steps per minute. The robot utilizes LiDAR and AI algorithms for real-time terrain perception, enabling it to adjust its driving mode and power output dynamically. The introduction of the X12 is significant as it addresses mobility challenges faced by individuals with disabilities, particularly in environments lacking accessibility features. With the ability to climb slopes of up to 40 degrees and traverse gaps of 300 mm, the X12 offers a solution that goes beyond traditional mobility aids. XSTO Mobility, based in Zhongshan, Guangdong, has been developing embodied mobile robots for over a decade, and the X12 represents a substantial advancement in this field, emphasizing user independence and safety. Looking ahead, XSTO Mobility has reported that orders for the X12 are already booked until April 2026, indicating strong market demand. The robot is currently available in over 70 countries, and its innovative design has garnered multiple awards. No further timeline was disclosed at the time of publication regarding additional product releases or enhancements.
Mobility Robots Assistive Technology AI Healthcare Innovation
ForSight Robotics Completes First Fully Robotic Cataract Surgery with JASPER Platform
ForSight Robotics has successfully completed the world's first fully robotic cataract surgery using its JASPER platform, led by Dr. Alexey Rapoport in April 2026. This groundbreaking procedure was performed at the Asian Eye Institute in the Philippines, showcasing JASPER's ability to execute the entire surgery autonomously without general anesthesia, adhering to modern cataract surgery standards. The significance of this achievement lies in JASPER's unique design, which empowers surgeons rather than replacing them. By integrating AI algorithms, advanced computer vision, and miniature mechanical technology, JASPER provides enhanced imaging and precision control, allowing surgeons to perform with the accuracy of elite professionals. This innovation also addresses ergonomic concerns, as it enables surgeons to operate seated, potentially extending their careers and improving surgical outcomes. Looking ahead, ForSight Robotics aims to secure FDA approval for JASPER in the United States, with plans to bring this technology to market in the coming years. The company has raised $195 million since its founding in 2020, with significant investments from notable figures and organizations. No further timeline was disclosed at the time of publication.
Robotic Surgery Cataract Surgery AI in Healthcare Ophthalmology Medical Robotics
MIT and EPFL Develop Flapping-Wing Robot for Air and Water Navigation
Engineers from MIT and EPFL have created a flapping-wing aerial-aquatic vehicle (FAAV) inspired by puffins. Weighing under 300 grams, the robot features a central fuselage, flexible wings, and a steerable tail. Field tests in Lake Geneva demonstrated its ability to swim and then take flight, showcasing its dual-medium capabilities. This innovation is significant for oceanography and marine biology, as it allows for cost-effective data collection from both air and water. The FAAV can fly at speeds of 6 meters per second and swim at 1 meter per second, providing a versatile tool for researchers. The design mimics the natural mechanics of birds, which maintain similar physical dynamics in both environments by adjusting their speed. Looking ahead, the team aims to refine the robot's ability to breach the water's surface, a challenging transition requiring a precise 70-degree pitch. No further timeline was disclosed at the time of publication, but the potential applications for environmental monitoring and research are substantial.
AI and Robotics
MIT Lincoln Laboratory Develops TOSSIT Sensor for Chemical Threat Detection
MIT Lincoln Laboratory has introduced the Tactical Optical Spherical Sensor for Interrogating Threats (TOSSIT), a baseball-sized device capable of detecting hazardous vapors and aerosols. Designed for military and first responder use, TOSSIT can be thrown, drone-dropped, or launched into areas of concern. The sensor utilizes an internal camera and a removable dye card to identify chemical threats, alerting users through an app or alarms when dangerous substances are detected. The significance of TOSSIT lies in its ability to address a critical gap in chemical detection capabilities. According to principal investigator Richard Kingsborough, this low-cost sensor option is essential for identifying toxic dust particles and other chemical threats that smaller deployed sensor systems typically overlook. This innovation is particularly relevant in contexts involving nerve agents, blister agents, and industrial chemical accidents, enhancing safety for military personnel and first responders. Looking ahead, TOSSIT is undergoing a transfer process to the U.S. military following extensive field testing. No further timeline was disclosed at the time of publication, but the deployment of such technology could significantly improve situational awareness and response capabilities in hazardous environments.
Research Sensors Public health Invention 3-D printing Mechanical engineering
Ant Group Launches Open Source LingBot-Vision: A Breakthrough in Robotic Vision Technology
Ant Group's Robbyant has introduced the LingBot-Vision model, a groundbreaking visual perception technology designed for robots. This innovative model, which operates with just 1.1 billion parameters, significantly outperforms traditional systems in depth estimation and object boundary recognition. By enhancing robots' ability to comprehend intricate environments, LingBot-Vision represents a major leap forward in the field of embodied intelligence. The technology has been made available as open-source, fostering further advancements and collaboration within the robotics community.
Robotic Vision Depth Perception AI Technology Open Source Embodied Intelligence
Humanoid Robot Wire Harnesses Emerge as a Critical System Technology
A RobotToday engineering deep dive into humanoid robot wire harnesses: 3D dynamic fatigue, 10-100 Gbps EMI shielding, FPC cost reduction, and global standards.
ROBOTTODAY Weekly June 23 – 27, 2026
This week in robotics: Agility Robotics $2.5B SPAC deal for first humanoid IPO, BMW Figure 03 logistics deployment, Morgan Stanley doubles China humanoid forecast, ON Semiconductor acquires Synaptics for $7B, Sony halts aibo in Japan. June 23–27, 2026.
ROBOTTODAY Weekly, June 15 – 19, 2026
This week in robotics: Japan commits $65B to physical AI, UBTECH’s U1 humanoid companion robot nears 5,000 pre-orders, XDOF raises $70M for robot foundation model infrastructure, and Waymo recalls ~3,900 robotaxis after construction-zone failures. June 15–19, 2026.
ROBOTTODAY WEEKLY May 11 - 15, 2026
This week in robotics: Figure AI's humanoids hit a 24/7 nonstop autonomous work milestone, Mind Robotics raises $400M to top $1B, Waymo recalls 3,800 robotaxis over flooding, Unitree debuts the world's first mass-produced human-carrying mecha, and WIRobotics closes a $68M Series B. May 11–15, 2026.
ROBOTTODAY WEEKLY May 4 - 8, 2026
RobotToday Weekly covers the week's top robotics developments: Meta acquires humanoid robotics startup ARI, Genesis AI unveils GENE-26.5 foundation model, Hugging Face launches Reachy Mini robot app store, and 1X begins NEO humanoid production in California. Plus SoftBank's $100B robotics spinoff plans, $200M+ funding for humanoid robots, and 20 curated product launches across foundation models, robotaxi, surgical robotics, drone policy, and more. Curated for industry executives, investors, and robotics engineers.
GLOBAL ROBOTICS INDUSTRY Comprehensive Sector Overview
A comprehensive global robotics industry overview for 2025, analyzing 14 key market segments — from industrial and humanoid robots to logistics AMRs, military systems, and service robots — with expert market sizing, US case studies, five-year forecasts, and bilingual English-Chinese analysis for executives and investors.
ROBOTTODAY Weekly April 13 – 17, 2026
This week in robotics: AGIBOT declares Deployment Year One with 5 platforms and 8 AI models at APC 2026, Physical Intelligence’s π0.7 solves unseen tasks, TARS raises a record $455M, and Siemens deploys humanoids in live factory operations. April 13–17, 2026.
ROBOTTODAY Weekly Industry Briefing March 30 – April 4, 2026
Your weekly robotics briefing: AGIBOT ships its 10,000th humanoid, UBTech reports a 23-fold revenue surge, Baidu robotaxis freeze in Wuhan, Saronic raises $1.75B, and Generalist’s GEN-1 hits 99% task success. March 30 – April 4, 2026.
Vision-Based Tactile Sensing: The Race to Build What Tesla's Optimus Needs
Vision-based tactile sensing (VBT) is emerging as the critical missing piece for Tesla Optimus dexterous hands. This briefing covers the technology, six global milestones, a ten-company competitive landscape, and the Chinese startup ecosystem — including PaXini, Daimon Robotics, DouDong, WeiTi and QianJue.
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