A High-Payload Robotic Hopper Powered by Bidirectional Thrusters
Mobile robots have revolutionized various fields, offering solutions for manipulation, environmental monitoring, and exploration. However, payload capacity remains a limitation. This article presents a novel thrust-based robotic hopper capable of carrying payloads up to nine times its own weight while maintaining agile mobility over less structured terrain. The 220 g robot carries upto 2 kg…
Video Friday: Unitree’s A2 Quadruped Goes Exploring
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.World Humanoid Robot Games: 15–17 August 2025, BEIJINGRO-MAN 2025: 25–29 August 2025, EINDHOVEN, THE NETHERLANDSCLAWAR 2025:…
3-Axis Angular Strain Estimation With Hall Effect Sensors for Proprioception of Soft Robotic Manipulators
Slender soft robots offer significant advantages for real-life applications, particularly in areas that require delicate and adaptable interaction with complex environments. However, their effectiveness and safety can be greatly limited in the absence of sensing capabilities. Hall effect sensors, known for their excellent sensitivity and compact design, offer an innovative solution for equipping soft manipulators…
3-Axis Angular Strain Estimation With Hall Effect Sensors for Proprioception of Soft Robotic Manipulators
Slender soft robots offer significant advantages for real-life applications, particularly in areas that require delicate and adaptable interaction with complex environments. However, their effectiveness and safety can be greatly limited in the absence of sensing capabilities. Hall effect sensors, known for their excellent sensitivity and compact design, offer an innovative solution for equipping soft manipulators…
Multi-Objective Charging Optimization of Lithium-Ion Batteries Considering Electrical, Thermal, and Aging Behaviors Using Deep Reinforcement Learning
Lithium-ion battery charging involves many factors such as electricity, heat, aging, etc. Shortening the charging time of lithium-ion batteries while limiting aging and temperature rise is an urgent issue that needs to be addressed. In order to solve this problem, the pseudo-two-dimensions (P2D) model is used to describe the electrical behavior of batteries. Then, a…
Multi-Objective Charging Optimization of Lithium-Ion Batteries Considering Electrical, Thermal, and Aging Behaviors Using Deep Reinforcement Learning
Lithium-ion battery charging involves many factors such as electricity, heat, aging, etc. Shortening the charging time of lithium-ion batteries while limiting aging and temperature rise is an urgent issue that needs to be addressed. In order to solve this problem, the pseudo-two-dimensions (P2D) model is used to describe the electrical behavior of batteries. Then, a…
A-C-I Fuzzy Logic System Structure-Based Reconfigurable Robot Manipulators Finite-Time Optimal Backstepping Force/Position Control
To address the force/position control challenges under varying external constraints, this letter proposes an actor-critic-identify (A-C-I) fuzzy logic system (FLS) structure-based reconfigurable robot manipulators (RRM) finite-time optimal backstepping force/position control. Unlike traditional force/position control methods, the proposed controller adopts a backstepping framework to construct performance indices and optimal controllers associated with the exponential form of…
A-C-I Fuzzy Logic System Structure-Based Reconfigurable Robot Manipulators Finite-Time Optimal Backstepping Force/Position Control
To address the force/position control challenges under varying external constraints, this letter proposes an actor-critic-identify (A-C-I) fuzzy logic system (FLS) structure-based reconfigurable robot manipulators (RRM) finite-time optimal backstepping force/position control. Unlike traditional force/position control methods, the proposed controller adopts a backstepping framework to construct performance indices and optimal controllers associated with the exponential form of…
Power System Short-Term Voltage Stability Assessment and Margin Estimation via Neural Barrier Function
Short-term voltage stability (STVS) has emerged as a critical concern in modern power systems due to increasingly complex transient post-fault dynamics. Effectual STVS assessment and margin estimation are essential. Existing data-driven STVS analysis approaches tackle the flexibility issue; however, they often lack a strong mechanism basis. To address these issues, this paper introduces a novel…
Power System Short-Term Voltage Stability Assessment and Margin Estimation via Neural Barrier Function
Short-term voltage stability (STVS) has emerged as a critical concern in modern power systems due to increasingly complex transient post-fault dynamics. Effectual STVS assessment and margin estimation are essential. Existing data-driven STVS analysis approaches tackle the flexibility issue; however, they often lack a strong mechanism basis. To address these issues, this paper introduces a novel…