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Snake-inspired robots are of great significance in many fields because of their great adaptability to the environment. This paper aims to systematically illustrate the research progress of snake-inspired robots according to their application environments. It classifies snake-inspired robots according to the numbers of degrees of freedom in each joint and briefly describes the modeling and control of snake-inspired robots. Finally, the application fields and future development trends of snake-inspired robots are analyzed and discussed.

This paper summarizes the research progress of snake-inspired robots and clarifies the requirements of snake-inspired robots for self-adaptive environments and multi-functional tasks. By equipping various sensors and tool modules, snake-inspired robots are developed from fixed-point operation in a single environment to autonomous operation in an amphibious environment. Finally, it is pointed out that snake-inspired robots will be developed in terms of rigid and flexible deformable structure, long endurance and multi-function and intelligent autonomous control.

Inspired by the modular and reconfigurable concepts of biological snakes, snake-inspired robots are well adapted to unknown and changing environments. Therefore, snake-inspired robots will be widely used in industrial, military, medical, post-disaster search and rescue applications. Snake-inspired robots have become a hot research topic in the field of bionic robots.

This paper summarizes the research status of snake-inspired robots, which facilitates the reader to be a comprehensive and systematic understanding of the research progress of snake-inspired robots. This helps the reader to gain inspiration from biological perspectives.

After a building collapse, people buried alive have to be localized and rescued. This requires the damage site's inspection and surveillance. These tasks are dangerous and challenging due to the area's hard‐to‐reach and hazardous environment. The damage site cannot be actively entered but must be inspected from a safe distance. In this context, mobile robots gain in importance as they can be operated semi‐autonomously or remote‐controlled without exposing the first responders to the risk. The purpose of this paper is to introduce a novel robot.

The novel robot introduced in this paper has a snake‐like build‐up, uses tracks and active flippers for locomotion and negotiates completely structured as well as extremely unstructured and rough terrain. The system's slender, segmented and modular structure is actively articulated by the use of overall 30 degrees‐of‐freedom, which allow the robot's flexible adaptation to a given terrain. System‐terrain‐interaction is detected by the use of an innovative, RFID‐based sensory integrated in the system's tracks.

The paper presents the mobile robot's basic features, as well as first experimental results for semi‐autonomy and tele‐operation.

The introduced robot stands out due to its high locomotion and mobility capabilities.

The purpose of this paper is to present new locomotion and steering modules conceived and designed for rescue serpentine robots with enhanced climbing ability. The locomotion modules apply sock locomotion technology that allows great motion efficiency in rubble and confined environment due to the very high propulsion ratio. The steering joints guarantee good orientation dexterity by exploiting actuation based on smart materials.

Great attention and time is dedicated to the design phase, digital mock‐upping and virtual comparative assessment of different solutions. Mechatronic interdisciplinary design methodology including mechanisms analysis, sensory actuation issues and functional materials characterization, control and communication integration has been adopted.

The locomotion modules are revised and updated versions improving climbing ability of the socked locomotion module originally proposed by the authors. New steering modules with high orientation workspace, based on smart actuation, are introduced.

The evaluation of the findings on the field is planned but no experimental result is today available.

Agile serpentine robots are requested for quick and safe rescue and special risky interventions in environments where dense vegetation, rubble and confined spaces prevent human presence. These robots offer invaluable potential help in such risky interventions mainly by being agile in exploring the environment, robust, low cost, reliable, and tele‐operated.

The paper presents original issues in terms of concept and design of instrumental (locomotion and steering) modules for composing modular rescue robots with very high locomotion agility and climbing performances.

This paper aims to present an iterative path-following method with joint limits to solve the problem of large computation cost, movement exceeding joint limits and poor path-following accuracy for the path planning of hyper-redundant snake-like manipulator.

When a desired path is given, new configuration of the snake-like manipulator is obtained through a geometrical approach, then the joints are repositioned through iterations until all the rotation angles satisfy the imposed joint limits. Finally, a new arrangement is obtained through the analytic solution of the inverse kinematics of hyper-redundant manipulator. Finally, simulations and experiments are carried out to analyze the performance of the proposed path-following method.

Simulation results show that the average computation time is 0.1 ms per step for a hyper-redundant manipulator with 12 degrees of freedom, and the deviation in tip position can be kept below 0.02 mm. Experiments show that all the rotation angles are within joint limits.

Currently , the manipulator is working in open-loop, the elasticity of the driving cable will cause positioning error. In future, close-loop control based on real-time attitude detection will be used in in combination with the path-following method to achieve high-precision trajectory tracking.

Through a series of iterative processes, the proposed method can make the manipulator approach the desired path as much as possible within the joint constraints with high precision and less computation time.