Modern demolition robots generally support multiple working modes to meet the needs of different demolition scenarios, including fully automatic, semi-automatic, remote control, collaborative work, etc. Its core advantage lies in flexible switching and intelligent adaptation, thereby improving work efficiency and safety.

　　1、 Main working modes of dismantling robots

　　1. Fully automatic mode (AI autonomous operation)

　　Applicable scenarios: Structured environments (such as standardized building demolition, precast slab crushing).

　　Technical support:

　　BIM modeling+3D scanning: Enter building structure data in advance, and the robot automatically plans a suitable demolition path.

　　Sensor fusion: Real time obstacle avoidance through LiDAR and IMU (Inertial Measurement Unit).

　　Typical case:

　　The robot developed by Shimizu Construction in Japan can automatically dismantle floor slabs with an error of less than 2cm.

　　2. Semi automatic mode (human-machine collaboration)

　　Applicable scenarios: Complex unstructured environments (such as debris removal, partial demolition of dangerous buildings).

　　Technical support:

　　Operator sets key points: manually mark hazardous areas such as load-bearing walls and pipelines, and the robot automatically completes the remaining crushing.

　　Force feedback remote control: The controller or VR device provides tactile feedback to assist in precise control.

　　Typical case:

　　Brokk robots can complete the dismantling of chemical equipment under the supervision of operators, avoiding accidental contact with flammable components.

　　3. Remote control mode (safe operation)

　　Applicable scenarios: high-risk environments (such as nuclear contaminated areas, post fire buildings, and deep pit operations).

　　Technical support:

　　5G/Wi Fi 6 low latency transmission: Control signal delay<50ms (Huawei and Sany Heavy Industry cooperation case).

　　Panoramic camera+thermal imaging: Operators view real-time images through AR glasses.

　　Typical case:

　　During the decommissioning of the Fukushima nuclear power plant, remote control robots are used to clean up radiation debris.

　　4. Multi machine collaborative mode (cluster job)

　　Applicable scenarios: Large scale projects (such as bridge demolition, subway station renovation).

　　Technical support:

　　Swarm Intelligence Algorithm: Tasks are assigned between robots through UWB (Ultra Wideband) communication.

　　Digital twin scheduling: Synchronize the progress of each machine in the cloud to avoid collisions or duplicate tasks.

　　Typical case:

　　Three robots worked together in 72 hours to complete the demolition of a 20 story building in a renovation project in Shanghai.

　　2、 Core technology of mode switching

　　1. Modular tool quick change

　　Hydraulic quick release interface: Replace tools such as breaking hammers, hydraulic shears, cutting saws, etc. within 10 seconds.

　　Adaptive control: The system automatically identifies the type of tool and adjusts parameters (such as impact frequency).

　　2. Intelligent environment perception

　　Multimodal sensors:

　　Lidar (spatial modeling)

　　Microphone (determines concrete hardness through sound of breakage)

　　Gas sensor (detecting hazardous chemical leaks)

　　3. Software defined functions

　　One click mode switching:

　　Switching from "automatic floor crushing" to "remote steel bar cutting" only takes 1 minute.

　　OTA upgrade: By updating algorithms in the cloud, new working modes can be expanded (such as adding a "biomimetic climbing" function).

　　3、 Model requirements of different industries

　　Typical applications of industry first choice mode

　　Fully automatic building demolition+multi machine collaborative high-rise building fragmentation layer by layer

　　Remote control of emergency rescue for searching and rescuing dangerous buildings after earthquakes

　　Remote control of nuclear power operation and maintenance+semi-automatic dismantling of radiation area equipment

　　Mining semi-automatic (force feedback assisted) secondary crushing of ore

　　4、 Future development direction

　　AI reinforcement learning: Robots autonomously optimize mode selection through historical data (such as automatically switching impact strategies based on concrete strength).

　　Metaverse integration: Operators rehearse the dismantling process in a virtual environment and then synchronize it to a real robot.

　　Self repair mode: Automatically switch to emergency power when hydraulic leakage is detected, and persist in completing critical tasks.

　　Conclusion

　　The multi-mode support of demolition robots is their core competitiveness that distinguishes them from traditional demolition equipment. In the future, with the advancement of 5G, AI, and modular design, the working mode will be smarter and more flexible, further covering extreme scenarios such as deep sea, space, and micro (chip disassembly). When choosing robots, enterprises should focus on the convenience of mode switching and the ability to adapt to different scenarios.