Rose-Hulman Inst of Tech

US private engineering university (Rose-Hulman Institute of Technology) in Terre Haute, Indiana, ranked highly for undergraduate engineering education. Offers programmes in engineering, mathematics, and sciences, including an AI major, with student startup activity and strong industry employment outcomes.

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Rose-Hulman Inst of Tech
5500 Wabash Avenue
Terre Haute, IN 47803
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Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.

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Unitree Announces CMG 2026 Humanoid Robot Combat Competition with Global Reactions

Unitree Announces CMG 2026 Humanoid Robot Combat Competition with Global Reactions

Unitree has released a promotional video for the CMG 2026 Humanoid Robot Combat Competition, scheduled for July 9, 2026. The video showcases advanced humanoid robots engaging in combat with humans, highlighting their physical capabilities and martial arts techniques. The announcement has generated significant global interest, with many viewers expressing excitement about the potential for real-life robot combat akin to the film 'Real Steel.' The significance of this event lies in its exploration of human-AI co-evolution through competitive robotics. Viewers have praised the initiative for pushing technological boundaries, with some noting that testing robots against humans is the ultimate validation of their capabilities. Additionally, there is a call for matches where skilled fighters remotely control robots, reflecting a desire for greater recognition of Unitree's technological prowess in the field. Looking ahead, the competition is expected to spark further discussions on the implications of teaching combat skills to robots, with some comments drawing parallels to science fiction narratives like 'Terminator.' No further timeline was disclosed at the time of publication, but the event promises to be a focal point for advancements in humanoid robotics and AI technology in the coming years.

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer (Shanghai) Technology, founded by Assistant Professor Zhu Wenjun from Xi'an Jiaotong-Liverpool University, has successfully raised millions in angel funding from the Pudong AI Seed Fund. Established in 2025 with a registered capital of 2 million yuan, the company holds two patents and aims to optimize motor technology and establish mass production lines with the new funding. This funding is significant as it marks a shift in investment focus towards core components like joint motors, which have been underdeveloped in China. While many domestic motor technologies remain in the experimental phase, Bessemer is building a complete chain from electromagnetic simulation to standardized hardware, addressing the gap between laboratory innovations and industrial production. Looking ahead, Bessemer's product line includes the E series and S series motors, designed for humanoid robots and medical devices, which could disrupt the market by offering lighter, more efficient alternatives to traditional motors. No further timeline was disclosed at the time of publication for upcoming product launches or additional funding rounds.

Motor Technology Robotics Angel Investment High-Tech Startups
NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.

Robotics Industrial Automation Simulation Technology AI
JAIST and King's College Develop EleTac Soft Gripper with Integrated Tactile Sensing

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
Lu Ce Wu Advances Embodied Intelligence at Qiongche Intelligent in China

Lu Ce Wu Advances Embodied Intelligence at Qiongche Intelligent in China

Lu Ce Wu, a scientist from Chaoshan, has made significant strides in the field of embodied intelligence, establishing Qiongche Intelligent in 2023. This venture aims to enhance robotic capabilities, with a focus on real-world applications. In 2025, Qiongche's robots will be deployed in a pharmacy in Shenyang, demonstrating autonomous navigation and product recognition without altering existing systems. The significance of Lu's work lies in his commitment to embodied intelligence, a concept he believes should extend beyond digital confines to interact with the physical world. His journey began in 2012 when he recognized the potential of AI after witnessing AlexNet's success. Despite initial challenges in promoting embodied intelligence in China, Lu's persistence has led to recognition, including the Science Exploration Award in 2023, making him the first recipient in this field. Looking ahead, Lu plans to further develop Qiongche Intelligent's capabilities and has established the first AI doctoral program in China. He emphasizes the importance of strategic planning and talent cultivation to prepare for the future of embodied intelligence. No further timeline was disclosed at the time of publication.

Embodied Intelligence Robotics Artificial Intelligence Technology Innovation
Seoul University Introduces Single-Layer Artificial Skin for Enhanced Robotic Sensory Perception

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 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 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 Unveil 250g Flapping Robot for Dual Aerial and Aquatic Navigation

MIT and EPFL Unveil 250g Flapping Robot for Dual Aerial and Aquatic Navigation

MIT and EPFL have developed the Flapping-wing Aerial-Aquatic Vehicle (FAAV), weighing just 250 grams. This innovative robot can navigate both air and water, achieving a cruising speed of 6.3 meters per second in the air and 1 meter per second underwater. Remarkably, it can take off from water using only its wings, without any additional propulsion systems. The significance of the FAAV lies in its ability to overcome the challenges of transitioning between air and water, which have historically hindered the development of amphibious robots. The wings of the FAAV passively deform underwater, allowing for efficient movement and reduced motor load. This design enables the robot to exploit the surface tension of water for takeoff, a feat that has been difficult for previous models reliant on complex propulsion mechanisms. Looking ahead, the research team aims to complete the full flight-dive-flight cycle, which is yet to be validated. The FAAV has already demonstrated its capability to breach the water's surface, marking a significant milestone in the evolution of cross-medium robotic systems. No further timeline was disclosed at the time of publication.

Flapping Robots Aerial-Aquatic Vehicles Robotics Marine Technology
UC San Diego Team Demonstrates G1 Humanoid Robot 'Surgie' in First Live Surgery

UC San Diego Team Demonstrates G1 Humanoid Robot 'Surgie' in First Live Surgery

On July 8, a research team from the University of California, San Diego, published a groundbreaking study in Nature, showcasing the G1 humanoid robot, nicknamed 'Surgie.' This robot, weighing 27 kg and priced from $13,500, successfully performed two laparoscopic cholecystectomies on live pigs, marking a significant milestone in robotic surgery. The significance of this achievement lies in the G1's affordability and adaptability compared to traditional surgical robots like the da Vinci system, which costs between $500,000 and several million dollars. Surgeon's remote control of the G1 allows for deployment in various settings, including rural areas, battlefields, and potentially space missions, without the need for specialized operating room modifications. Despite the success, the technology still faces challenges before clinical application, such as the need for frequent recalibration during surgery, which increases operation time. The G1's limited arm span of 450 mm also restricts its operational range. No further timeline was disclosed at the time of publication for the next steps in this research.

Humanoid Robots Surgical Robotics Remote Surgery Medical Technology
Capex Analysis 2025: AI Hyperscalers vs Humanoid Robots — Financing Risk Deep Dive

Capex Analysis 2025: AI Hyperscalers vs Humanoid Robots — Financing Risk Deep Dive

Compare how Microsoft, Google, Oracle, Tesla Optimus, Figure AI and UBTECH finance their Capex. Supply chain risk, ROIC analysis and a 3-dimension investment framework included.

Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?

Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?

A data-driven analysis comparing Boston Dynamics Atlas and Tesla Optimus supply chain strategies in 2026. Examines actuator costs, production ramp speeds, and how Boston Dynamics can avoid iRobot's bankruptcy by adopting a tiered supply chain approach. Includes component cost tables, risk heat maps, and strategic frameworks.

FUTURE WARFARE | The Geopolitical Competitive Landscape

FUTURE WARFARE | The Geopolitical Competitive Landscape

Military robotics is no longer a U.S.-centric story. Global defence spending crossed $2.75 trillion in 2026; defence-tech VC hit a record $49.1 billion in 2025; and a multipolar robotics order is crystallising in real time — with China’s 15th Five-Year Plan institutionalising civil-military fusion, Europe’s €381 billion defence budget financing its own AI champions, and Turkey and Israel reshaping the export market with affordable, combat-proven systems. Part Five of the Future Warfare Series maps the country-by-country competitive landscape, the collapsing regulation race, and the investment forces reshaping who builds — and who controls — the autonomous weapons of the next decade.

Agricultural Robotics | 2025–2030 Outlook: The Labor Cost Reckoning

Agricultural Robotics | 2025–2030 Outlook: The Labor Cost Reckoning

Agricultural robotics is projecting a $28–48 billion market by 2030 outside China, driven purely by labor cost replacement. Part 10 synthesizes the series: forecasting penetration ceilings, emerging technologies, and regional winners in the most consequential farming transformation since mechanization.

Global Industrial Robots Market 2025: Market Sizing, Geographic Trends & Case Studies (Chapter 1)

Global Industrial Robots Market 2025: Market Sizing, Geographic Trends & Case Studies (Chapter 1)

An in-depth analysis of the global industrial robotics market for 2025 — Chapter 1 of a 9-chapter bilingual research series. Covers market sizing consensus ($17.5–22 B USD), geographic deployment landscape, four real-world case studies (Ford, Volkswagen, BYD, Toyota), and 2025–2030 installation forecasts, with bilingual English-Chinese analysis for executives and investors.

RAI Institute Study: Driving Boston Dynamics' Spot Changes How People See Robots

RAI Institute Study: Driving Boston Dynamics' Spot Changes How People See Robots

A 10-week study of 753 mall visitors found that driving Boston Dynamics’ Spot robot for just minutes significantly boosted comfort and acceptance — even in homes and hospitals.

UBTECH Robotics FY2025 Results: Humanoid Revenue Surges 2,200%, Loss Narrows Sharply

UBTECH Robotics FY2025 Results: Humanoid Revenue Surges 2,200%, Loss Narrows Sharply

UBTECH Robotics (9880.HK) reported FY2025 revenue of RMB 2.0 billion (+53.3%) with humanoid robot sales surging 2,203.7% to RMB 820.6M. Net loss narrowed to RMB 789.8M. Full results breakdown.

FUTURE WARFARE | The Economics of Attrition

FUTURE WARFARE | The Economics of Attrition

How the cost equation of modern warfare has inverted: a $500 AI-guided drone now rivals a $2 million precision missile in tactical effect. Part One of the Future Warfare Series examines the unit economics, supply chain realities, and venture capital forces reshaping defence procurement — from Ukraine's 1.7 million FPV drones to Anduril's $30 billion factory-as-weapon bet.

RobotToday Weekly Industry Briefing: Feb 2 – 6, 2026

RobotToday Weekly Industry Briefing: Feb 2 – 6, 2026

Robotics shifted from demos to deployment post-CES 2026, led by China’s humanoid scale, AI robot brains, and accelerating industrial adoption.

How Zhenyu Technology Is Becoming a Key Linear Actuator Supplier Candidate for Tesla’s Optimus Humanoid Robot

How Zhenyu Technology Is Becoming a Key Linear Actuator Supplier Candidate for Tesla’s Optimus Humanoid Robot

Explore how Zhenyu Technology is emerging as a key candidate to supply linear actuators for Tesla’s Optimus humanoid robots, enhancing precision motion control