HomeElectronics NewsA Controller Could Make Excavator Training Easier

A Controller Could Make Excavator Training Easier

A controller lets beginners move an excavator with hand movements, helping them learn the machine without first learning joystick controls.

Caption:
“This is a more intuitive way to command the machine,” says Hermano Krebs. Krebs sees the interface as a faster way to train excavator operators, as well as a new way to physically operate the machines, both on-site and remotely.
Credits:
Image: Courtesy of the researchers
“This is a more intuitive way to command the machine,” says Hermano Krebs. Krebs sees the interface as a faster way to train excavator operators, as well as a new way to physically operate the machines, both on-site and remotely. Image Credit: Courtesy of the researchers

A controller developed by MIT engineers could help beginners learn to operate excavators without first mastering conventional joystick controls. The system uses a small mechanical arm and bucket that operators move with their own arm and hand. A virtual excavator mirrors those movements, creating a direct link between the operator’s actions and the machine’s motion.

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In tests, people with no excavator experience performed at a similar level to experienced operators from the start when using the new interface. With conventional joystick controls, beginners initially performed worse but improved with training.

The system, called the World-Space Interface, addresses the mental translation required by traditional excavator controls. Operators must learn how joystick movements control the boom, arm, bucket, and cab while coordinating those inputs during tasks such as digging, grading, moving material, and clearing debris.

The researchers tested the interface using a virtual excavator simulator with 15 environments, including construction sites, highways, forest roads, riverbanks, mining areas, and urban and rural locations. Participants completed tasks such as scooping and dumping material, digging trenches, grading surfaces, clearing debris, removing branches near water, and breaking rocks.

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Experienced and inexperienced participants trained with both the new interface and a conventional joystick simulator for one hour a day over seven days. The tasks became more difficult throughout the training.

The researchers are also exploring applications outside simulation. A similar controller could be installed inside an excavator cab, allowing operators to control the machine by moving a small mechanical arm.

The interface could also support remote operation, allowing an operator to control an excavator from away from the worksite. This could be useful when machines are working in hazardous environments.

The team is adding haptic feedback so the controller can apply force to the operator’s hand based on what the excavator is doing. For example, lifting a heavy load could create resistance through the mechanical arm.

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Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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