Researchers at Seoul National University have developed a novel approach using porous triply periodic minimal surface (TPMS) feet and deep reinforcement learning controller, which significantly reduces battery power consumption in quadruped robots. The solution reduces energy consumption by up to 6.2% while maintaining stable locomotion.
SourceSeoul National University of Science & Technology·JournalInternational Journal of Precision Engineering and Manufacturing-Green Technology·TypeExperimental study·DateJul 31, 2026
MIT researchers developed a new system-on-a-chip called Gleanmer, which generates highly accurate 3D maps of the robot's environment using Gaussians to represent obstacles. This approach reduces memory and power consumption by up to 99%, making it suitable for lightweight augmented reality headsets.
SourceMassachusetts Institute of Technology·DateJun 23, 2026
Scientists created a shape-changing flying robot named Floaty that can fly efficiently while staying stable in the air. By adjusting its flaps to control air resistance, Floaty balances itself and recovers from disturbances.
SourceMax Planck Institute for Intelligent Systems·Journalnpj Robotics·TypeExperimental study·DateJun 22, 2026
Researchers propose embedding AI foundation models into control software to enable robot swarms to achieve new levels of autonomy and adaptability. This enables robots to switch between tasks in real-time and interact more naturally with humans.
SourceUniversité libre de Bruxelles·JournalScience Robotics·DateJun 2, 2026
DJI Air 3 (RC-N2)
DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.
Researchers at Duke University introduce Argus, a 20-eyed robot with no front or back, demonstrating dynamic symmetry and improving performance across various measures. The design surpasses the theoretical maximum of 0.6, enabling robustness, energy efficiency, and resilience to damage.
SourceDuke University·JournalScience Robotics·TypeExperimental study·DateMay 27, 2026
Researchers explore how next-gen AI and sensor-rich operating rooms can enable more precise, data-driven, personalized surgery. Advances in multimodal data integration, machine learning, and robotic systems could enhance situational awareness and intraoperative decision-making.
Experts warn that AI-enhanced surgical robotics could enable true personalized surgery and enhance surgical team performance. However, regulatory reforms are needed to address risks from adaptive systems and ensure patient benefits.
SourceFrontiers·JournalFrontiers in Science·DateMay 7, 2026
The study, led by Lucy Liu and L. Mahadevan, shows that adding the right amount of noise to individual robot movements can ease gridlock and improve efficiency in crowded environments. The researchers used computer simulations and experiments with small robots to test their ideas.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateApr 13, 2026
Researchers developed magnetically controlled microrobots made from diatoms to target glioblastoma lesions with photodynamic therapy. The microrobots achieved a significant cytotoxic effect on primary glioblastoma cells and demonstrated good biocompatibility.
SourceChinese Academy of Sciences Headquarters·JournalBio-Design and Manufacturing·TypeExperimental study·DateMar 10, 2026
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
A cross-sectional study found that smartphone use during school hours is associated with reduced cognitive control in youths aged 11-18. The study highlights the need for school-level policies and digital literacy programs to address habitual smartphone-checking behaviors that fragment attention.
SourceJAMA Network·JournalJAMA Network Open·DateMar 9, 2026
Researchers developed a new AI control system that allows soft robots to learn a broad set of motions once and adapt instantly to changing conditions without retraining. The system combines structural learning with real-time adaptiveness, making it suitable for diverse tasks and environments.
SourceSingapore-MIT Alliance for Research and Technology (SMART)·JournalScience Advances·DateFeb 4, 2026
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateFeb 2, 2026
Researchers at Stanford University have successfully used machine-learning-based control to operate a robot on the International Space Station, allowing for faster and more efficient navigation while maintaining safety. The system, which includes a warm start feature, enables robots like Astrobee to move through complex environments wi...
Scientists at TU Delft developed an algorithm allowing multiple autonomous drones to work together to control and transport heavy payloads even in harsh weather. The system enables drones to lift and orient a payload with precision, ideal for reaching infrastructure like offshore wind turbines.
SourceDelft University of Technology·JournalScience Robotics·TypeExperimental study·DateOct 29, 2025
SAMSUNG T9 Portable SSD 2TB
SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
A team of engineers at Harvard John A. Paulson School of Engineering and Applied Sciences designed a proof-of-concept walking robot using only four moving parts connected by rubber bands and powered by one motor. The robot can find its way through mazes, avoid obstacles, and sort objects by mass without electronic control systems.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateOct 15, 2025
Researchers propose a novel control scheme to address challenges in traditional backstepping control designs and event-triggered control. The scheme significantly reduces communication bandwidth usage, offering a new approach for efficient control of complex industrial systems.
SourceELSP·JournalAdvanced Equipment·TypeComputational simulation/modeling·DateAug 7, 2025
The book explores foundational and advanced principles of modeling concurrent control systems using Petri nets, focusing on building reliable, verifiable systems where concurrency plays a central role.
Apple MacBook Pro 14-inch (M4 Pro)
Apple MacBook Pro 14-inch (M4 Pro) powers local ML workloads, large datasets, and multi-display analysis for field and lab teams.
Researchers at NTU Singapore have developed an AI-powered robotic system to assemble cyborg insects for search and rescue efforts, significantly reducing preparation time and human error. The automated system can attach electronic backpacks to Madagascar hissing cockroaches in under 8 minutes, about 30 times quicker than manual methods.
SourceNanyang Technological University·JournalNature Communications·TypeExperimental study·DateJul 28, 2025
Researchers create aerially transforming morphobot ATMO to address complex aerodynamic forces near ground level. The system uses advanced control method model predictive control to adapt quickly to changing dynamics during transformation.
SourceCalifornia Institute of Technology·JournalCommunications Engineering·DateMay 28, 2025
Aerial robots are limited to manipulating rigid objects, but Lehigh University researcher David Saldaña aims to expand their capabilities with an adaptive controller and reinforcement learning. His research has potential applications in construction, disaster response, and industrial automation.
Researchers at Duke University developed a novel framework called WildFusion that fuses vision, vibration and touch to enable robots to sense complex outdoor environments like humans do. The system was tested in real-world settings and showed remarkable ability to accurately predict traversability and improve robot decision-making.
SourceDuke University·TypeExperimental study·DateMay 19, 2025
Researchers developed novel haptic devices to enable precise robot control with tactile feedback, reducing collisions and improving user proficiency. The devices integrate digital twin technology and augmented reality for enhanced immersion.
SourcePohang University of Science & Technology (POSTECH)·JournalIEEE Transactions on Industrial Informatics·DateMay 18, 2025
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
The Purdue team developed Purdubik’s Cube, a high-speed robotic system that solves a Rubik’s Cube in record-breaking 0.103 seconds. The team leveraged machine vision, custom solving algorithms, and industrial-grade motion control hardware to achieve this feat.
Researchers at MIT created a table tennis bot that can return shots with high-speed precision, achieving a hit rate of 88% in tests. The technology could be adapted to improve the speed and responsiveness of humanoid robots for search-and-rescue operations.
SourceMassachusetts Institute of Technology·DateMay 8, 2025
Researchers developed an intelligent autonomous robot capable of automating hospital disinfection processes through dual disinfection system, increasing efficiency and precision. The robot's performance was validated through real-world testing, reducing the risk of infection in hospitals.
SourcePohang University of Science & Technology (POSTECH)·JournalIEEE Robotics & Automation Magazine·DateMay 7, 2025
The observation pyramid uses different robot platforms to survey ocean areas, enabling flexible task management. Autonomous robotic organizations will reduce costs, improve mission efficiency and increase system robustness.
SourceNorwegian University of Science and Technology·JournalScience Robotics·TypeExperimental study·DateMay 6, 2025
Celestron NexStar 8SE Computerized Telescope
Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.
The Harvard RoboBee has been equipped with crane fly-inspired legs and an updated controller, allowing it to land safely on various surfaces. The robot's delicate actuators were protected by the improved design, which enabled controlled landing tests on a leaf and rigid surfaces.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalScience Robotics·TypeExperimental study·DateApr 16, 2025
Researchers developed electronics-free robots that can walk without electronics, using compressed gas as a power source. The robots were printed in one go from standard 3D printing material and demonstrated three-day operation with air pressure control.
SourceUniversity of California - San Diego·JournalAdvanced Intelligent Systems·TypeExperimental study·DateMar 25, 2025
Research by University of Toronto's Rotman School of Management found that adoption of international auditing standards leads to better financial reporting. Countries with stronger enforcement and more full integration of ISA into domestic practices show the most positive impact on audit quality.
SourceUniversity of Toronto, Rotman School of Management·JournalThe Accounting Review·TypeData/statistical analysis·DateMar 18, 2025
The Harvard robot uses latch-mediated spring actuation to jump high and cover long distances relative to its size. It combines walking and jumping modes for effective navigation in natural environments.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalScience Robotics·TypeExperimental study·DateFeb 26, 2025
Researchers at UC3M developed a new soft joint model that enables versatility of movement, adaptability, and safety in robots. The asymmetrical triangular structure allows for greater bending angles with less force, providing operational protection and increased safety in human-robot interactions.
Apple Watch Series 11 (GPS, 46mm)
Apple Watch Series 11 (GPS, 46mm) tracks health metrics and safety alerts during long observing sessions, fieldwork, and remote expeditions.
Researchers develop innovative hybrid control strategy to improve product yields in biosynthetic processes. The new approach combines model-based optimization with in-cell feedback control, outperforming traditional methods and promising reduced costs and environmental impact.
SourceFujita Health University·JournalScientific Reports·TypeComputational simulation/modeling·DateDec 5, 2024
Researchers from Tohoku University and partners developed a decentralized control system to analyze plesiosaur locomotion, accounting for motion adjustment. The system successfully recreated coordinated flippers patterns in response to changes in flapping cycle and morphology.
SourceTohoku University·JournalScientific Reports·DateNov 5, 2024
Researchers at the University of Pennsylvania have developed a new consensus complementarity control (C3) algorithm that allows robots to react to complex physical contact in real-time. The algorithm enables robots to control the motion of sliding objects, a challenging task previously thought to be impossible for autonomous robots.
SourceUniversity of Pennsylvania School of Engineering and Applied Science·TypeExperimental study·DateOct 14, 2024
The Human AugmentatioN via Dexterity (HAND) center aims to develop robots capable of enhancing human labor through engineered systems of dexterous robotic hands, AI-powered fine motor skills, and human interface. The center's goal is to make robotic assistance accessible and applicable to a wide range of physical actions.
Researchers developed a learning-based approach called LVWS to schedule robots and enable voluntary waiting, resulting in faster task completion. This method outperformed other approaches by up to 23% suboptimality, demonstrating its potential to improve manufacturing, agriculture, and warehouse automation.
SourceUniversity of Massachusetts Amherst·TypeComputational simulation/modeling·DateAug 12, 2024
Sony Alpha a7 IV (Body Only)
Sony Alpha a7 IV (Body Only) delivers reliable low-light performance and rugged build for astrophotography, lab documentation, and field expeditions.
Researchers at Delft University of Technology use drone racing to test neural-network-based AI control systems planned for next-generation space missions. The goal is to achieve optimal onboard operations by continuously replanning trajectories, reducing resource consumption and boosting mission autonomy.
SourceDelft University of Technology·JournalScience Robotics·TypeExperimental study·DateJun 19, 2024
A new type of dart launcher has been developed as a safer and more cost-effective alternative to firearms or air guns for injecting animals with drugs. The prototype uses electromagnetic coils and lidar technology to deliver a projectile with controlled kinetic energy.
SourceOhio State University·JournalTechnologies·DateJun 13, 2024
A recent study published in Science Robotics found that robots struggle to outperform biological organisms in foot races. The researchers analyzed data from dozens of studies and concluded that the failure of robots to outrun animals is not due to shortfalls in individual components, but rather inefficiencies in system design.
SourceUniversity of Colorado at Boulder·JournalScience Robotics·DateApr 29, 2024
Researchers at Georgia Tech have developed a universal approach to controlling robotic exoskeletons that requires no training, calibration, or adjustments. The system uses deep learning to autonomously adjust assistance levels for walking, standing, and climbing stairs, reducing user effort and metabolic expenditure.
SourceGeorgia Institute of Technology·JournalScience Robotics·TypeExperimental study·DateMar 20, 2024
A team of researchers developed a time-optimal control method for autonomous ships, optimizing maneuvering performance in dynamic sea conditions. The new control system accounts for various forces affecting ship movement and can improve efficiency and safety, reducing shipping costs and carbon emissions.
SourceNational Korea Maritime and Ocean University·JournalOcean Engineering·TypeExperimental study·DateMar 13, 2024
CalDigit TS4 Thunderbolt 4 Dock
CalDigit TS4 Thunderbolt 4 Dock simplifies serious desks with 18 ports for high-speed storage, monitors, and instruments across Mac and PC setups.
A team at Zhejiang University has developed a self-driving cloaked unmanned drone with an intelligent aeroamphibious invisibility cloak, capable of manipulating electromagnetic scattering in real-time across dynamic environments. The cloak integrates perception, decision-making, and execution functionalities using spatiotemporal modula...
SourceSPIE--International Society for Optics and Photonics·JournalAdvanced Photonics·DateMar 6, 2024
A new control system optimizes predictive models with real-time observations, predicting fusion plasma behavior with high accuracy. This approach enables adaptive predictive control in uncertain conditions, laying the foundation for fusion reactor control.
SourceNational Institutes of Natural Sciences·JournalScientific Reports·TypeExperimental study·DateJan 25, 2024
The new Repoint technology features a lift and move mechanism with passive locks, ensuring fault-tolerant operation even when two actuators fail. It has been successfully tested at a test track, demonstrating compatibility and functionality with conventional switch rail arrangements.
SourceUniversity of Birmingham·JournalRailway Engineering Science·TypeComputational simulation/modeling·DateJan 10, 2024
A soft, wearable robot was used to help a person living with Parkinson’s disease walk without freezing, eliminating the debilitating symptom and allowing them to regain their independence. The device provided instantaneous effects and consistently improved walking in a range of conditions.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature Medicine·DateJan 5, 2024
Creality K1 Max 3D Printer
Creality K1 Max 3D Printer rapidly prototypes brackets, adapters, and fixtures for instruments and classroom demonstrations at large build volume.
A new technology enables the printing of complex robots with soft, elastic, and rigid materials in one go. This allows for the creation of delicate structures and parts with cavities as desired.
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
The project aims to assess the operational resilience of microgrids on DoD installations and ships, using new operational resilience indexes developed by Lehigh University researcher Javad Khazaei. The team will develop a dashboard to monitor resilience indexes in real-time, providing recommendations for improving the systems.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.
SourceUniversity of Oldenburg·JournalPRX Energy·TypeData/statistical analysis·DateSep 19, 2023
Sky-Watcher EQ6-R Pro Equatorial Mount
Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.
Researchers developed a groundbreaking soft valve technology that integrates sensors and control valves into soft robots, eliminating the need for electric components. This innovation enables safe operation underwater or in environments with sparks risks, reducing weight burdens and costs.
SourceUlsan National Institute of Science and Technology(UNIST)·JournalNature Communications·DateSep 15, 2023
Researchers developed a new method for controlling lower limb exoskeletons using deep reinforcement learning, enabling more robust and natural walking control. The system has the potential to benefit users with spinal cord injuries, multiple sclerosis, stroke, and other neurological conditions.
SourceKessler Foundation·JournalJournal of NeuroEngineering and Rehabilitation·TypeComputational simulation/modeling·DateJun 15, 2023
A novel technique has been proposed to enhance the learning ability of robots performing repetitive tasks by using a fractional power update rule. The study demonstrates fast convergence rates and potential applications in industries such as autonomous vehicles and rehabilitation robots.
SourceChinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·DateJun 4, 2023
The TOAST project, led by Aarhus University, aims to develop the Tactile Internet technology and upscale the talent pool for this emerging field. Researchers will focus on edge intelligence, haptic communication, and machine learning to create immersive user experiences.
Apple iPad Pro 11-inch (M4)
Apple iPad Pro 11-inch (M4) runs demanding GIS, imaging, and annotation workflows on the go for surveys, briefings, and lab notebooks.
A team of researchers at Tohoku University has developed an artificial intelligence-driven contact control system to minimize friction between moving parts in machinery, aiming to reduce wear and tear and extend lifespan.
SourceTohoku University·JournalTribology International·DateMar 2, 2023
A new algorithm was proposed to predict a satellite's attitude without sensor data, crucial for debris tracking and damage reduction. The method uses quaternions and an extended Kalman filter to estimate the satellite's state, followed by a neural network to extract unmodeled environmental torque.
SourceBeijing Institute of Technology Press Co., Ltd·JournalSpace: Science & Technology·DateFeb 23, 2023
Researchers at NTNU developed a predictive control heating system that can optimize energy consumption by predicting heating needs and utilizing surplus heat. The system saved 1.8% in energy costs per month, demonstrating its potential to reduce electric bills.
SourceNorwegian University of Science and Technology·JournalE3S Web of Conferences·TypeComputational simulation/modeling·DateFeb 16, 2023
A new control system design method achieves ultra-precision positioning on industrial machinery with unknown vibration characteristics. The system uses a nominal characteristic trajectory following controller and a vibration suppression compensator to reach target positions with high speed and precision.
SourceToyohashi University of Technology (TUT)·JournalPrecision Engineering·TypeExperimental study·DateFeb 7, 2023
GoPro HERO13 Black
GoPro HERO13 Black records stabilized 5.3K video for instrument deployments, field notes, and outreach, even in harsh weather and underwater conditions.
AQT at Berkeley Lab organized a workshop on classical control systems for quantum computing, bringing together industry leaders and researchers to share experimental control advances. The workshop highlighted the need for advanced features in classical control electronic systems to optimize quantum computer performance.
SourceDOE/Lawrence Berkeley National Laboratory·DateDec 20, 2022
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
SourceUniversity of Missouri-Columbia·JournalInternational Journal of Production Economics·DateNov 29, 2022
A new study from the University of East Anglia found that employees who perceive managerial controls as restrictive and punitive may develop dysfunctional responses, including workplace deviance and deliberate ignorance. The study suggests that threatening managerial controls have different effects on skilled and non-skilled workers, w...
SourceUniversity of East Anglia·JournalAccounting Forum·TypeSurvey·DateNov 15, 2022