Impedance Model-Based Optimal Regulation on Force and Position of Bimanual Robots to Hold an Object

Bimanual robots have been studied for decades and regulation on internal force of the being held object by two manipulators becomes a research interest in recent years. In this paper, based on impedance model, a method to obtain the optimal target position for bimanual robots to hold an object is proposed. We introduce a cost function combining the errors of the force and the position and manage to minimize its value to gain the optimal coordinates for the robot end effectors (EE). To implement this method, two necessary algorithms are presented, which are the closed-loop inverse kinematics (CLIK) method to work out joint positions from desired EE pose and the generalized-momentum-based external force observer to measure the subjected force acting on the EE so as to properly compensate for the joint torques. To verify the effectiveness, practicality, and adaptivity of the proposed scheme, in the simulation, a bimanual robot system with three degrees of freedom (DOF) in every manipulator was constructed and employed to hold an object, where the results are satisfactory.

Shared control–based bimanual robot manipulation

Human-centered environments provide affordances for and require the use of two-handed, or bimanual, manipulations. Robots designed to function in, and physically interact with, these environments have not been able to meet these requirements because standard bimanual control approaches have not accommodated the diverse, dynamic, and intricate coordinations between two arms to complete bimanual tasks. In this work, we enabled robots to more effectively perform bimanual tasks by introducing a bimanual shared-control method. The control method moves the robot’s arms to mimic the operator’s arm movements but provides on-the-fly assistance to help the user complete tasks more easily. Our method used a bimanual action vocabulary, constructed by analyzing how people perform two-hand manipulations, as the core abstraction level for reasoning about how to assist in bimanual shared autonomy. The method inferred which individual action from the bimanual action vocabulary was occurring using a sequence-to-sequence recurrent neural network architecture and turned on a corresponding assistance mode, signals introduced into the shared-control loop designed to make the performance of a particular bimanual action easier or more efficient. We demonstrate the effectiveness of our method through two user studies that show that novice users could control a robot to complete a range of complex manipulation tasks more successfully using our method compared to alternative approaches. We discuss the implications of our findings for real-world robot control scenarios.

Performance of a Multifunctional Robot for Natural Orifice Transluminal Endoscopic Surgery

Natural orifice transluminal endoscopic surgery (NOTES) has gained attention as a revolutionary technique with its potential advantages in eliminating skin incisions, shortening recovery time, and decreasing postoperative complications; however, its practical application is still constrained by the complexity of navigation through the surgical field and paucity of available instruments. Current progress on NOTES focuses on designing flexible articulated robots or fully inserted bimanual robots to address the limitations. However, the lack of multitasking tools, trade-offs between size and power, and lack of sufficient surgical force are too often neglected. The authors designed a bimanual robot with a multifunctional manipulator, which can realize on-site instrument-change according to surgeon needs. An articulated drive mechanism with 2 independent curvature sections was designed to deliver the robot to the surgical site. A corresponding reconfiguration operation sequence was formulated to ease insertion and thereby decrease the design trade-off between size and power. This article presents 3 benchtop and animal tests to evaluate the robotic surgery approach and demonstrate the effectiveness of the robot.

Design of a Compact Robotic Manipulator for Single-Port Laparoscopy

This paper presents the mechanical design of a novel surgical robotic platform, specifically developed for single-port laparoscopy (SPL). The greatest constraint is the small size of the skin incision through which the robot must operate. Several technical and technological challenges have been tackled to meet the stringent requirements imposed by the surgical procedure at hand. In this paper, a detailed mechanical description of the system is provided, fulfilling the necessary design requirements. The main outcome of this work is a compact, light-weight (total weight approximately 6 kg) and highly dexterous bimanual robot capable of overcoming the current drawbacks experienced in SPL when using traditional medical devices. The system has been assessed in terms of tracking accuracy, resulting in satisfactory and promising performance.