Journal of Advancements in Robotics

Journal of Advancements in Robotics Journal of Advancements in Robotics [2455-1872(e)] is a peer-reviewed hybrid open-access journal launched in 2014 that aims for Advancements in robotics and deals with the assembly of applications for robots and computer systems for their control, sensory feedback, and information technology to shorten the need of human work.

• Robot mechanics, kinematics, and dynamics: forward and inverse kinematics, manipulator dynamics and Jacobian formulations, redundancy resolution, workspace and singularity analysis, parallel and cable-driven mechanisms, calibration and geometric uncertainty estimation, and dynamic modelling of mobile and legged platforms.
• Mechanism design and actuation: manipulator and end-effector design, anthropomorphic and multi-fingered hands, tendon and twisted string actuation, series elastic and variable stiffness actuators, pneumatic and hydraulic systems, compliant mechanisms, and prototyping and mechanical evaluation.
• Sensing and perception: proprioceptive and exteroceptive sensing, force, torque, and tactile sensing, vision systems and depth sensing, laser ranging and lidar, sensor fusion and multimodal integration, probabilistic sensor modelling, and state estimation under uncertainty.
• Localisation, mapping, and navigation: simultaneous localisation and mapping, occupancy grid and feature-based representations, visual and lidar odometry, loop closure and place recognition, global and local path planning, obstacle avoidance, and navigation in dynamic and unstructured environments.
• Control and motion planning: feedback and adaptive control of manipulators, model predictive control, force and impedance control, visual servoing, trajectory optimisation, nonholonomic and underactuated system control, and robust control under parameter uncertainty.
• Manipulation and grasping: grasp synthesis and stability analysis, dexterous in-hand manipulation, contact modelling, manipulation of deformable and articulated objects, bin picking and pose estimation for grasping, and task and motion planning for manipulation.
• Mobile and field robotics: wheeled and tracked platform design, terrain traversability and rough terrain locomotion, agricultural, construction, and mining robotics, inspection and maintenance robots, and robots for hazardous and disaster environments.
• Aerial, marine, and space robotics: unmanned aerial vehicle design and control, autonomous helicopter and multirotor flight control, underwater and surface vehicle autonomy, remotely operated vehicles, space and orbital robotics, and multi-domain vehicle coordination.
• Humanoid and legged robotics: biped and multi-legged locomotion, gait generation and stability, whole-body control, balance recovery and push resistance, humanoid platform design, and human motion imitation and simulation.
• Bio-inspired and soft robotics: soft fluidic and pneumatic actuators, continuum and tentacle-like manipulators, biomimetic locomotion and structures, soft sensor integration, modelling and finite element analysis of soft bodies, and bio-inspired collective behaviour.
• Medical and assistive robotics: robot-assisted and minimally invasive surgery, telesurgery and teleoperation, surgical instrument design and force feedback, rehabilitation and exoskeleton systems, prosthetics and myoelectric control, socially assistive robots for elderly and clinical populations, and in-home care and companion robots.
• Human–robot interaction and social robotics: interaction design and anthropomorphism, mental models and user expectations of robots, multimodal dialogue and speech interfaces, shared autonomy and human–robot collaboration, safety in collaborative workcells, trust and acceptance, and evaluation methodology for interaction studies.
• Multi-robot systems and swarms: distributed coordination and consensus, task allocation and formation control, swarm behaviour and emergent organisation, communication constraints in robot teams, and heterogeneous team composition.
• Learning for robotics: reinforcement learning for control and manipulation, imitation and demonstration learning, sim-to-real transfer, representation learning for perception, foundation and vision–language–action models in robotics, data efficiency and safe exploration, and benchmarking of learned policies.
• Robot software, architecture, and systems: middleware and robot operating system frameworks, modular and component-based architectures, behaviour trees and task specification, real-time computation on robot hardware, user interface frameworks for robot operation, and reusability and portability of robot software.
• Blockchain-enhanced robotic systems: decentralised robotic control and distributed decision making, blockchain-based security for robot communication and operations, data integrity and provenance for critical robotic applications, smart contracts for automating robotic services and robot-to-robot transactions, and evaluation of deployed blockchain–robotics integrations.
• Safety, standards, and ethics: functional safety and risk assessment for robotic systems, collaborative robot safety standards, verification and validation of autonomous behaviour, liability and accountability, ethical design of autonomous and intelligent systems, and societal and workforce implications of robotic deployment.