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Open access

ISSN: 2667-3797
CN: 37-1527/TP
e-ISSN: 2667-3797
p-ISSN: 2097-0242

Advancements in reinforcement learning for robotic control: A comprehensive review

Reinforcement Learning (RL) has emerged as a transformative paradigm for training autonomous agents to achieve effective control through trial-and-error interactions. In robotics, RL has enabled the...

Vision-based terrain-aware quadruped locomotion via dual monocular depth fusion and information-decoupled adaptation

Reinforcement learning-based quadruped locomotion control typically relies on ground-truth terrain heightmaps that are readily available in simulation but inaccessible during real-world deployment....

Ψ-Map: Panoptic surface integrated mapping enables Real2Sim transfer

Open-vocabulary panoptic reconstruction is essential for advanced robotics perception and simulation. However, existing methods based on 3D Gaussian Splatting (3DGS) often struggle to simultaneously...

Lightweight unsupervised image enhancement based on bilateral grid

Visual perception serves as the primary sensory modality for autonomous robots navigating and interacting with complex environments. However, robotic vision systems frequently encounter challenging...

LARR: A Leg-Arm Reuse Robot for cost-effective mobility and manipulation

Humanoid robots advance embodied intelligence but require over 20 degrees of freedom (DoFs), leading to high complexity and cost. This paper presents the Leg-Arm Reuse Robot (LARR), which adopts a novel...

CG-MARL: Human-in-the-loop cognition-guided credit assignment for distributed multi-agent reinforcement learning

Credit assignment remains a key challenge in cooperative multi-agent reinforcement learning (MARL), as existing methods infer agent contributions indirectly from global rewards through restrictive structural...

A gear-linkage quaternion joint based cable-driven serpentine manipulator: Structural design, kinematics, and motion planning

Cable-driven serpentine manipulators exhibit significant potential for confined-space operations owing to their slender structure and dexterous motion capability. However, their practical application...

Human-in-the-Loop Reinforcement Learning for a Low-Cost Soft Myoelectric Prosthetic Hand

Approximately 65 million people live with some form of amputation, of which 38.7% involve the upper limb, with higher incidence in developing countries. This situation highlights the need for affordable...

Development of a piezoelectric ultrasonic actuating tripod robot inspired by swinging movement of jellyfish

Miniature piezoelectric robots exhibit the characteristics of high displacement resolution, flexible structure, and absence of electromagnetic interference. They have been applied in various fields...

From geometry to intention: A survey of Head Pose Estimation for HCI and HRI systems

Head Pose Estimation (HPE) has evolved from model-based geometric fitting toward robust deep learning approaches capable of real-time inference in unconstrained environments. However, improvements in...

A quasi-passive lockable shoulder exoskeleton with load adaptability for assisting both static and dynamic tasks

Passive shoulder exoskeletons are widely adopted to mitigate musculoskeletal injuries. However, conventional passive shoulder exoskeletons suffer from limited spring stiffness and insufficient assistive...

Learning what you hold: A personalized object registration and recognition framework via handheld interaction

Personalized object recognition is a critical capability for home service robots to understand and execute user-specific requests within idiosyncratic domestic environments. However, existing approaches...

Validation of a thoraco-abdominal motion phantom for robotic surgery’s respiration tracking study

Respiratory motion, as a dominant biological factor, imposes two primary challenges in radiotherapy: firstly, ensuring accurate spatial targeting of the tumor volume, and secondly, constraining radiation...

Design and validation of a quasi-passive knee exoskeleton with clutched elastic actuators for human walking assistance

Human legs exhibit spring-like behavior during the walking stance phase, motivating the development of lightweight passive lower extremity exoskeletons with elastic energy storage. While such designs...

MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation

Medical image segmentation takes an important position in various clinical applications. 2.5D-based segmentation models bridge the computational efficiency of 2D-based models with the spatial perception...

Coupled dynamic modeling, identification and experimental validation of a hydraulically driven soft robotic arm

Unlocking the high-performance potential of Hydraulically-Driven Soft Robotic Arms (HDSRAs) requires computationally tractable dynamic models that are both physically faithful and rigorously validated,...

Robotic fish with tunable stiffness soft tail based on bionic spinal muscle system

Changes in muscle state in vertebrates directly influence their movement properties, offering inspiration for research on bionic robotic fish. This paper presents an untethered robotic fish equipped...

A multi-task framework based on SDA–LSTM fusion network for gait phase recognition and gait cycle percentage progression prediction by IMU for forward walking

Accurate recognition of gait phases and reliable prediction of gait cycles are critical for adaptive exoskeleton control. Although these two tasks are inherently coupled in both temporal and spatial...

Towards Industry 5.0: Emerging trends in dual-arm human–robot collaboration

As industry transitions from the Industry 4.0 paradigm to the human-centered vision of Industry 5.0, robots are evolving from mere automation tools into intelligent partners capable of close collaboration...

Reducing user training burden for myoelectric prosthetic hand control with CNN–LDA temporal-spectral transfer learning

Modern myoelectric prosthetic hands continue to face reliability challenges due to the non-stationarities of surface electromyography (sEMG) signals, which are highly sensitive to limb positions, electrode...

Deep reinforcement learning-based dynamic path planning of flexible needle in robotic puncturing

Flexible needle puncture path planning in surgical robots faces significant challenges, such as limited adaptability to multi-objective environments and poor real-time performance. These issues affect...

Multimodal wearable sensors-driven KsFormer model for continuous multi-step ahead prediction of lower limb joint moments and ground reaction forces

Accurate real-time prediction of lower limb biomechanics is critical for enhancing assistive robotic control systems. While machine learning approaches have emerged as computationally efficient alternatives...

Inverse kinematics and redundancy resolution in manipulators: Methods, optimization objectives, and future trends

Redundant manipulators possess additional degrees of freedom that enable superior dexterity, adaptability, and fault tolerance in complex environments. However, this redundancy also introduces challenges...

MCVP: Multi-channel viewpoint planner for efficient exploration and mapping of complex 3D environments

Autonomous exploration in complex 3D environments is a key issue in robotics, where current approaches often demonstrate limited efficiency and excessive path backtracking. To mitigate backtracking...

Humanoid robot running through random stepping stones and jumping over obstacles: Step adaptation using spring-mass trajectories

This study proposes a step adaptation framework for running through spring-mass trajectories and deadbeat control gain libraries. It includes four main parts: (1) Automatic spring-mass trajectory library...

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