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Home NEWS Science News Technology

Innovative ‘Flexible’ Robots Revolutionize Movement in Tight Spaces

Bioengineer by Bioengineer
March 31, 2026
in Technology
Reading Time: 4 mins read
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Innovative ‘Flexible’ Robots Revolutionize Movement in Tight Spaces
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In the relentless pursuit of advancing robotic technology, a remarkable innovation has emerged from the laboratories of the Indian Institute of Technology Gandhinagar (IITGN). Researchers have engineered a novel control framework for tendon-driven continuum robots (TDCRs), a class of robots distinguished by their highly flexible structures capable of intricate motion in constrained environments. This development promises to revolutionize the adaptability and precision of robotic applications in fields as demanding as minimally invasive surgery to intricate industrial inspections.

Conventionally, robotic arms are perceived as machines with rigid segments and joints that execute rotational or linear motions. These designs, iconic in cultural representations such as the Transformers series, fall short when tasked with navigating highly confined spaces replete with soft tissues or fragile components. In scenarios like internal surgical procedures or inspections within compact machinery, the rigidity of traditional robots limits effectiveness and increases the risk of collateral damage.

To overcome these limitations, continuum robots (CRs) have been developed, characterized by their flexible, snake-like bodies that conform dynamically to their surroundings. Among CRs, the tendon-driven continuum robot stands out for its simplicity, lightweight architecture, and high degrees of maneuverability. Its design comprises a flexible backbone actuated by multiple thin tendons that run longitudinally alongside the robot’s structure. By selectively tensioning these tendons, the robot can bend, twist, and articulate smoothly in numerous directions, closely mimicking the natural movements found in biological appendages such as octopus tentacles or elephant trunks.

Despite the intuitive mechanical design, the control of TDCRs presents a significant analytical challenge. Unlike traditional robots with a finite, often limited number of joints, TDCRs exhibit theoretically infinite degrees of freedom, making precise navigation a complex, computationally intensive problem. The complexity escalates further with robots composed of multiple sections, where the actuation of one tendon might inadvertently influence the motion of adjacent sections, resulting in a tightly coupled control problem.

Addressing this formidable challenge, the IITGN research team introduced the concept of the virtual actuation space (VAS), a transformative approach to streamline the control of multi-section TDCRs. Rather than directly commanding the physical tendons, VAS abstracts the robot’s movement into a conceptual two-parameter representation: the direction of bending and the magnitude of curvature for each segment. This simplification decouples the control mechanism, allowing each section of the robot to operate independently without undesired interference from others—a significant advancement over traditional tendon-interconnected control strategies.

The virtual actuation space reduces the computational overhead typically required for real-time motion planning, enabling more responsive and precise robot movement. This methodology compensates for the complex interdependencies within multi-section TDCRs by adjusting actuation parameters in a virtual coordinate system, which subsequently maps back to tendon displacements. Through this abstraction, the control problem transforms from an unwieldy infinite-dimensional system into a manageable finite parameter space.

Validating the efficacy of the VAS approach involved the creation of a prototype robotic arm comprising two independently actuated sections. Each section was controlled by six motors capable of finely adjusting tendon lengths, facilitating nuanced bending profiles. To quantify performance, the researchers employed high-resolution motion capture technology, outfitting the robot with small LED markers whose positions were tracked in three-dimensional space. This setup allowed for precise feedback, with the control algorithm continually correcting motor movements to align the robot’s actual position with its designated trajectory.

Extensive experiments demonstrated the robot’s ability to execute complex trajectories with remarkable precision. In one test, the robot’s tip traced the vertices of a pentagon sequentially, achieving an error margin below one percent—an extraordinary feat in continuum robot control. Additional trajectories mimicked the shapes of a two-petalled flower, spiral, circle, and arbitrary curves, confirming the system’s versatility. Particularly noteworthy was the independent operation of the robot’s sections—one section could bend while the other remained straight, highlighting the decoupled control capability enabled by VAS.

The implications of this research extend deeply into practical applications requiring dexterous, reliable robotic manipulators. In surgical contexts, the ability of a TDCR to maneuver delicately without cross-section interference could elevate the safety and efficacy of minimally invasive procedures. Beyond healthcare, industries such as aerospace and manufacturing stand to benefit from robotic systems capable of inspecting and maintaining equipment nestled within confined and complex assemblies. The adaptability and reduced computational demand promise scalable solutions for multi-sectional continuum robots, accommodating more intricate designs as technological demands evolve.

This breakthrough aligns with India’s national directives aimed at propelling the country to the forefront of robotics innovation by 2030. By integrating cutting-edge research with strategic governmental initiatives like the National Strategy on Robotics and Make in India 2.0, IITGN’s work embodies a fusion of academic excellence and societal impact. The institute fosters a dynamic culture around robotics, inspiring students and researchers to explore and innovate in this transformative domain.

The researchers have secured intellectual property protection through a patent (application number 202421002550) filed with the Indian Patent Office, underscoring the novelty and commercial potential of the VAS-based control method. They acknowledge crucial financial support from the Gujarat Council on Science and Technology and appreciate collaborative insights from faculty colleagues and team members within their robotics lab.

In essence, the virtual actuation space framework represents a paradigm shift in continuum robot control, bridging the divide between mechanical complexity and computational tractability. Its ability to enhance precision, reduce control interdependencies, and maintain real-time responsiveness marks a milestone in the evolution of flexible robotics. As this technology matures and proliferates across domains, it promises to unlock new frontiers where delicate, adaptable, and precise robotic movement is indispensable.

Subject of Research: Control methodologies for tendon-driven continuum robots
Article Title: Trajectory tracking of multi-section tendon-driven continuum robots using virtual actuation space control
News Publication Date: 27-Feb-2026
Web References: DOI link
Image Credits: Credit to authors and the IITGN Robotics Lab team at the Indian Institute of Technology Gandhinagar, Gujarat, India

Keywords

Tendon-driven continuum robot, tendon actuation, robotic manipulation, flexible robots, virtual actuation space, robotics control, multi-section robot, computational efficiency, surgical robotics, precision robotics, motion capture, robotic trajectory tracking

Tags: adaptive robotic movementcontinuum robot control frameworksflexible robot design advantagesflexible robotics technologyIIT Gandhinagar robotics researchindustrial inspection roboticslightweight continuum robot systemsminimally invasive surgical robotsprecision robotics in healthcarerobotic navigation in confined spacessnake-like robotic structurestendon-driven continuum robots

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