Aims and Scope

Journal of Climbing and Walking Robots (JCWR) is an international, peer-reviewed journal dedicated to publishing high-quality research on the theory, design, development, and commercialisation of all types of robots with a special emphasis in the field of mobile robots and associated technologies. This is necessitated by the emergence and overwhelming development of service robots for application in various environments involving humans and close robot-human interactions.

The journal aims to serve as a leading international platform for researchers, academics, engineers, and industry innovators to share cutting-edge advances in mobile robots and associated technologies, including climbing, walking, legged, field, and bio-inspired robotic systems. By promoting research that enhances safety, performance, autonomy, and technology readiness, JCWR seeks to bridge the gap between scientific discovery and practical deployment, accelerating innovation and facilitating the adoption of robotic technologies in both established and emerging application domains.

Journal of Climbing and Walking Robots covers a broad range of topics within the framework of mobile robotics and autonomous systems, including but not limited to the following:

Robotics Theory, Design, and Architectures
• Novel robotic architectures and mechanisms
• Analysis and design paradigms
• Modular and reconfigurable designs
• Modularity and interoperability
• Soft robotics and bio-inspired designs
• Novel unmanned air vehicle designs

Mobility, Locomotion, and Autonomous Robotics
• Mobile robots
• Legged and wheeled robotics
• Legged locomotion and gait control
• Climbing robots with novel adhesion techniques
• Robot adhesion technologies
• Bio-inspired locomotion
• Loco-manipulation
• Field robots
• Autonomous and semi-autonomous robotic systems
• Motion planning, navigation, control, and coordination
• Bio and nature-inspired control and actuation algorithms
• AI-driven perception and decision-making
• Deep learning for robot vision and recognition
• Reinforcement learning and deep learning for mobile robot control

Enabling Technologies and Robotic Systems
• Sensor technologies and sensor fusion
• Human-robot interaction and adaptive learning
• Communication networks and multi-robot collaboration
• Collaborative and swarm robotics
• Power management and energy-efficient robotics

Robotics Applications, Evaluation and Governance
• Humanoid and assistive walking robots
• Medical robotics
• Robotic non-destructive testing and evaluation
• Robotics in extreme environments (space, deep-sea, disaster response)
• Service robotics in domestic, public, and industrial environments
• Industrial, infrastructure, and environmental robotics
• Search and rescue, disaster response robotics
• Benchmarking robots and robot systems
• Safety, ethics, and regulatory considerations in robotics
• Regulations and standardization