23 accepted papers
Robotic pushing is a versatile non-prehensile manipulation skill that enables robots to handle ungraspable objects without specialized tools. This paper introduces a contact-aware, goal-oriented pushing framework that achieves dexterous and robust manipulation by explicitly allowing free-motion of t…
Learning from demonstration (LfD) enables robots to acquire new skills from human examples without explicit programming. Dynamical system (DS)-based approaches, in particular, have shown robustness to disturbances and adaptability in unstructured environments. However, existing methods often fail to…
Haptic devices are widely used as control interfaces for robotic teleoperation, offering intuitive rendering of interactions between remote robot and environment. In particular, cutaneous feedback devices provide intrinsic stability and reduced form factor compared to kinesthetic feedback interfaces
Robotic pushing is one of the intuitive nonprehensile manipulation skills that can handle ungraspable objects without any complex task-specific tools. In this paper, we proposed a goal-driven accurate robotic pushing framework to achieve the robotic pushing tasks in practice that can operate under u
This paper introduces a novel cable-driven rodent ankle exoskeleton system designed for in-vivo research on the restoration and enhancement of sensorimotor abilities. The system features a lightweight, actuator-decoupled exoskeleton for shaping motion and providing kinesthetic feedback, along with a
Robotic pushing is a fundamental non-prehensile manipulation skill essential for handling objects that are difficult to grasp. This letter proposes a highly accurate robotic pushing framework that utilizes an online estimated model to push objects along a given nominal trajectory, despite uncertain
Steel mill is one of the most extreme and hazardous working environments due to molten iron erupted from blast furnace. Current manual labor to remove lump iron near the outlet, which is essential to prevent lump iron from scattering or blocking of molten iron, is performed by equipped human workers…
This paper proposes a control structure for accurate tracking and compliant behavior of industrial manipulators without additional sensors. To achieve control objectives, friction, one of the biggest causes of performance degradation, should be compensated. For tracking performance, the estimated fr…
This paper proposes a teleoperation framework to exploit the maximum manipulation capability during teleoperation. Here, exploiting maximum manipulation capacity means that the robot moves with its maximum control input while not violating the given constraints, and it is a nonlinear optimization pr…
This paper analyzes the effect of control param-eters of feed-forward and inner loop velocity controller in an admittance control scheme on the performance and passivity. The interaction force, inertia, and damping compensation were considered as the feed-forward input. Sufficient conditions and gui…
This paper proposes an admittance controller-based teleoperation system for contact-rich tasks. Based on the analysis of the motivating task (deposited iron lump removal task in the steel mill), the system concept is focused on the practical aspects of the system, and various components are combined…
We develop a surgical forceps-driver and a haptic feedback master device that could be applied to a tele-operated microsurgical robotic system for peripheral nerve surgery. Considering that the neurological damage could occur to the peripheral nerve when an excessive force is applied to the nerve ti
This article proposes deep learning based real-time optical coherence tomography (OCT) image segmentation and correction algorithm for vision-based robotic needle insertion systems that can be used in DALK (deep anterior lamellar keratoplasty) surgery. The proposed algorithm provides the position of
This letter proposes a novel backdrivable servovalve to implement a torque-controlled electro-hydraulic actuator. The proposed backdrivable servovalve simultaneously contains the characteristics of a flow-control servo valve (=feedback spring) and a pressure-control servovalve (=pressure feedback po
Surface electromyography contains muscular information representing gestures and corresponding forces. However, conventional sEMG-based motion recognition methods, such as pattern classification and regression, have intrinsic limitations due to the complex characteristics of sEMG signals. In this pa…
This paper presents a robust compliance control scheme for an electro-hydraulic robot manipulator with an electrohydraulic torque actuators (EHTAs) and joint torque sensors. The EHTA, a torque-sourced hydraulic actuator, consists of electrohydraulic backdrivable servovalve and a rotary hydraulic van
Robust particle manipulation is a challenging but essential technique for single-cell analysis and processing of microfluidic devices. This paper proposes a micro-particle manipulation system with a microfluidic channel network. We built gravity-induced pressure actuators, which can generate high-re…
The interpretation of surface electromyographic (sEMG) signals facilitates intuitive gesture recognition. However, sEMG signals are highly dependent on measurement conditions. The relationship between sEMG signals and gestures identified from a specific subject cannot be applied to other subjects ow
We develop a miniature suction-gripper with the goal to realize the novel robotic surgical instrument that can grip slippery and flexible peripheral nerves. In developing the instrument, we place a priority on devising the method that can robustly grip the nerve bundles during the surgical operation…
We develop a novel cube-shaped finger-wearable haptic interface named as HaptiCube. With the aim of implementing the tactile device with improved functionality and wearability, we focus on designing the device to have two characteristics: multi-DOF force feedback displayability and large force capab…
Surface electromyograms (sEMG), are records of electrical signals generated by muscles, and have long been used to indicate the motions intended by humans to enable interactions between a robot and a human. To support not only the diverse movements in human daily living but also the task of increasi
This paper presents a real-time framework for tele-manipulation by using sEMG signals to estimate both human motion and force intention. Our previous study showed that the ability to detect discrete force levels was not applicable to complex tasks such as grasping, holding, and manipulating various
This paper presents a control method of multi-DOF power assistant robots for anatomical multi-axis joints such as the wrist and the ankle. It is difficult to calculate the accurate direction of human motion intention during manipulating an object due to discrepancy between the calculated force from…