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Seoul National University of Science and Technology researchers develop energy-saving TPMS feet for quadruped robots

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

EleTac: An elephant-inspired soft robotic gripper with a sophisticated sense of touch

Researchers developed EleTac, a soft robotic gripper with high-resolution tactile sensing, to handle delicate objects. The gripper's innovative design enables it to adapt to various shapes and provide gentle forces, making it suitable for applications such as handling fruit, lab samples, and medical supplies.

SourceJapan Advanced Institute of Science and Technology·JournalIEEE Transactions on Robotics·TypeExperimental study·DateJul 7, 2026

USC robot learns music by ear, opening new possibilities in medicine and therapy

A robotic hand developed at USC can hear a melody once and play it back after just two minutes of self-taught practice on a keyboard. The system, called the Musician Hand, mimics the way the brain and body coordinate fine motor skills through trial and error, offering a new model for machines — and medicine — to approach complex moveme...

SourceUniversity of Southern California·JournalJournal of The Royal Society Interface·TypeComputational simulation/modeling·DateMay 27, 2026

No motors? No gears? No problem.

Soft robots could work as medical implants, deliver drugs inside the body, and explore dangerous environments. The researchers designed a reconfigurable robot that can move repeatedly without degradation, using targeted heating to control motion and embedded temperature sensors for closed-loop control.

SourcePrinceton University, Engineering School·JournalAdvanced Functional Materials·TypeExperimental study·DateApr 9, 2026

How can you rescue a “kidnapped” robot? A new AI system helps the robot regain its sense of location in dynamic, ever-changing environments

A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.

SourceUniversidad Miguel Hernandez de Elche·JournalInternational Journal of Intelligent Systems·TypeExperimental study·DateFeb 18, 2026

Optimizing robotic joints

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

Programming robots with rubber bands

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

Texas A&M teams up to advance robotic dexterity

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.

Rice U.’s Kaiyu Hang wins NSF CAREER Award

Hang aims to develop general-purpose robots that can handle complex physical interactions without requiring perfect input from sensors or extensive instructions. His project seeks to improve robotic manipulation tasks by reducing assumptions about how the robot acts in real-world conditions.

Grasshopping robots made possible with new, improved latch control

Researchers at Carnegie Mellon University have developed a latch control system that enables grasshopping robots to perform efficiently on soft substrates. The team discovered that the latch can not only regulate energy output but also mediate energy transfer between the robot and its environment, leading to improved jump performance.

SourceCollege of Engineering, Carnegie Mellon University·JournalJournal of The Royal Society Interface·DateMar 2, 2023

Click beetle-inspired robots jump using elastic energy

Researchers have developed insect-sized jumping robots capable of navigating tight spaces, with a new study demonstrating two configurations that can successfully jump without manual intervention. The robots use a dynamic buckling cascade process to store and release elastic energy, allowing them to propel themselves upward.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJan 23, 2023