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Robot manipulation is one of prerequisites capability for service robot. However, autonomous manipulation remains a challenging problem for robot to implement the task, where robot has physical interactions and mechanical contacts with its environment. To date, learning from demonstration (LFD) has been successfully applied to enable robot to acquire new manipulation skill. Researches on LFD mainly...
The ability of the underactuated adaptive gripper is to envelop the objects according to its geometric shapes. It is known that robotic grippers are a nonlinear system, and it is difficult to set up an appropriate mathematical model, so it is hard to execute a precise control. In this paper, an underactuated gripper with two adaptive fingers is presented, and a Copley servo controller (Accelnet Micro...
This paper presented the concept of adaptation and underactuation applied to robotic grippers for manipulations. In order that the gripper can grasp the objects of different shapes, the adaptive and underactuated mechanism without any driving system in the joints was used. The main objective of this work is the fundamental analysis of this underactuated finger, including the dimensional design, kinetostatic...
In clinics, customized archwires are demanded for lingual orthodontic treatment. However, only very experienced orthodontists can handle the manual appliance preparation. This pattern not only occupies lots of the orthodontist's labor time, but also can not ensure the accuracy of the appliances. Therefore, a robotic system was developed for automatic and accurate orthodontic archwire bending in our...
Haptic perception plays an important role in human life. It provides comprehensive information about the world, especially in in-hand manipulation tasks. For human the in-hand manipulation is an easy work; for robots it is still a challenge. One of its issues lies in the uncertainty of the interaction state. This paper researches robot object interaction from a novel angle, the method is called haptic...
Recently, there has been growing interest in developing unmanned aircraft system (UAS) based on visual sensors. During the whole autonomous assignment, the landing procedure is one of the most dangerous and challenging process. For most of unmanned aircraft vehicle, visual sensors are the basic equipment, which are also widely used during the landing maneuver. This paper first presents the main research...
An algorithm for selecting nearest neighbors at a variable scale rather than a fixed search radius in point cloud neighbor search is proposed in this paper. We employ the concepts in differential geometry and divide the point cloud into different clusters according to their surface types. Not only the distance metric but also the clusters' surface type is taken into condition when we search the neighbors...
Bone drilling is an important and difficult process in orthopedic surgeries. To detect the drilling state of a Robotic Orthopedic Surgery System (ROSS) in real-time, a state recognition method based on audio signals, the Acoustic Emission (AE) signals generated in drilling process, is proposed in this paper. By an analysis via power spectral density of the AE signals, an appropriate frequency band...
This paper presents a kind of biomimetic neural circuit for simulating and implementing sidewinding of a snakelike robot. Biologically inspired by the neural circuit diagram in the spinal cord of lampreys, we propose a neural oscillator model and a chained inhibitory neural circuit. A set of leaky integrator type and sigmoid type interneurons is incorporated into the design of the neural diagram for...
During the workflow of the Intravenous Medication Preparation Robot (referred as IMP robot), there are some troublesome issues such as a wide variety of drugs, diverse bottle specifications, complex pharmaceutical preparation process, which make the robot system difficult to control. In this paper, an expert system based control system has been designed and implemented for the Intravenous Medication...
The scan registration is the cornerstone to Mobile Robotic Mapping, and the majority of existing global registration methods are dependent on specific features. This paper presents a global feature-less scan registration strategy based on the ground surface, which is extremely common in Mobile Robotic Mapping scenarios. The 3D rotation is decoupled from 3D translation by transforming the input scans...
Screw path drilling is an important process among many orthopedic surgeries. To guarantee the safety and correctness of this process, a model-based drilling state recognition method is proposed in this paper. The thrust force in the drilling process is modeled based on an accurate 3D bone model restructured by means of Micro-CT images. In theoretical modeling of the thrust force, the resistance and...
The broken strand of overhead ground wire (OGW), which is mainly caused by lightning strikes or the vibration of OGW, can lead to serious damage to the power grid system. Power-line maintenance work is generally carried out by specialized workers under extra-high voltage live-line conditions which involve great risks and high labor intensity. In this paper, we present a broken strand detection method...
Grasping has always been a hot topic in multidisciplinary field-anatomy, neuroscience and robotics. Recent research on robotic hand grasping has concentrated on introducing the grasp mechanism and characteristics of human hand to robotic hand. This paper analyzes the problem of generating grasp configurations for given objects. A one-step grasp synthesis is applied to a 20DoF five-finger anthropomorphic...
This work presents parallel plan execution, an intermediate layer for mobile robot systems using high-level planners such as Hierarchical Task Network planning to execute a series of actions. Sequential plans generated by high-level planners leave system resources unused while unnecessarily increasing execution time of generated plans. This increases delay of development cycles and also increases...
In this paper we present a method for the generation of hand postural synergies for different precision grasp types to be used in dextrous robot hands. Our method records the robot hand motions while teleoperated by human subjects via a dataglove, doing different grasp types on a series of objects. This exploits the fact that humans automatically compensate for calibration errors on the glove to robot...
Dextrous object manipulation with multi-fingered robot hands remains one of the key challenges of service robotics. So far, most theoretical approaches and simulators have concentrated on the search for and evaluation of static stable grasps, but with neither a model of the full hand-arm system nor the system dynamics. GraspIt! is probably the best-known simulator of this kind.
Spinal surgery has its specifications. Different from minimal invasive like laparoscope surgery, there is no complex operations such as sewing, cutting or clamping. It is more important for spinal surgery to locate precisely and to keep reliable during operation. Robotic spinal surgical system (RSSS) is designed upon these principles. Tracking and navigation system in RSSS ensures high positioning...
In this paper, a robot simulation system which can accomplish multi-task planning is proposed. The system is based on Simbad - an autonomous robot simulation package. Compared to Simbad, our system can establishes the environment model, and enables robots to make proper planning under uncertainties. The main contributions of this paper are 1) integrating the “Environment Memory Base” in the simulation...
This paper presents an efficient kinematical solution to a multi-robot system with serial and parallel mechanisms. JL-I is a reconfigurable robot featuring active spherical joints formed by serial and parallel mechanisms endowing the robotic system with the ability of changing shapes in three dimensions. The active joint here can combine the advantages of the high rigidity of a parallel mechanism...
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