Active constraints, also known as virtual fixtures, are high-level control algorithms which can be used to assist a human in man-machine collaborative manipulation tasks. The active constraint controller monitors the robotic manipulator with respect to the environment and task, and anisotropically regulates the motion to provide assistance. The type of assistance offered by active constraints can vary, but they are typically used to either guide the user along a task-specific pathway or limit the user to within a “safe” region. There are several diverse methods described within the literature for applying active constraints, and these are surveyed within this paper. The active constraint research is described and compared using a simple generalized framework, which consists of three primary processes: 1) constraint definition, 2) constraint evaluation, and 3) constraint enforcement. All relevant research approaches for each of these processes, found using search terms associated to “virtual fixture,” “active constraint” and “motion constraint,” are presented.

This paper outlines work on the development of a novel programmable rotary brake which can restrict motion of a mechanism moving in one direction whilst allowing free motion in other directions. The design, implementation and performance of a fully functional prototype are described along the work on incorporating the prototype into a 3 Degrees-Of-Freedom (DOF) haptic device. The ability of the haptic device to constrain the motion of the end-effector to point-constraint was investigated and the experiments have shown that the haptic device can implement virtual constraints without the need for a force sensor. The experiments also show that when an advanced control scheme is used the virtual wall is not felt as “sticky”.

Percutaneous interventions have attracted significant interest in recent years, but most approaches still rely on straight line trajectories between an entry site and a soft tissue target. Thus, to this day, a flexible probe able to bend along predefined curvilinear trajectories within a highly compliant medium without buckling is still an open research challenge. In this paper, we describe the concept of a “programmable bevel” tip, which is inspired by the ovipositor of certain wasps: the offset between two parts of a probe determines the steering direction of the tip thanks to a set of bevels included at the tip of each segment. A kinematic model of the flexible probe and programmable bevel arrangement is derived. Several parameters of the kinematic model are calibrated experimentally using our first prototype of the flexible probe, codenamed STING. Open- (feed-forward) and closed-loop (feedback) control strategies are then derived and implemented in simulation using the chained form representation, originally developed to control car-like robots. Simulated results demonstrate accurate two-dimensional needle steering in the presence of velocity, position, and initial posture disturbances.

The concepts and benefits of hands-on robotic surgery and active-constraint robotics are introduced. The argument is made for systems to be cost effective and simple in order that they can be justified for a large range of surgical procedures. The case is made for robotic systems to have a clear justification, with benefits compared to those from cheaper navigation systems. The need to have robust systems, that require little surgical training and no technical presence in the operating room, is also discussed. An active constraint medical robot, the Acrobot System, is described together with its use in a prospective randomized controlled trial of unicondylar knee arthroplasty (UKA), comparing the performance of the Acrobot System with conventional surgery. Twenty-eight patients awaiting UKA were randomly allocated to have the operation performed conventionally or with the assistance of the Acrobot. The results of the trial are presented together with a discussion of the need for measures of accuracy to be introduced so that the efficacy of the robotic surgery can be immediately identified, rather than having to wait for a number of years before long-term clinical improvements can be demonstrated.

A "hands-on" robotic system for total knee replacement (TKR) surgery is presented. A computer tomography-based preoperative planning software is used to accurately plan the procedure. Intraoperatively, the surgeon guides a small special-purpose robot, called Acrobot, which is mounted on a gross positioning device. The Acrobot uses active constraint control, which constrains the motion to a predefined region, and thus allows the surgeon to safely cut the knee bones to fit a TKR prosthesis with high precision. A noninvasive anatomical registration method is described. The system has been successfully used in seven clinical trials with encouraging results.

High intensity focused ultrasound is receiving increasing attention as a non-invasive method of destroying deep-seated tumours. This paper describes the early development of a novel system comprising of small multiple focused ultrasound transducers, attached to the end of a robotic manipulator, to ablate liver tumours. Small multiple transducers are proposed to minimise effects of off-focus hot spots, cavitation and to provide better access into the abdominal cavity. The design of a unique robotic manipulator is proposed to effectively scan the small combined focal region of the acoustic field throughout the volume of large tumours. This paper discusses the specification of the multiple HIFU transducers and the design of a concept robotic manipulator required for use in a surgical environment.

A special-purpose robot system has been developed for neurosurgery. It contains control mechanisms developed from flight-simulator experience to allow precise motion and force-control using very low-force input. The robot constrains the tool motion to a safe region using methods developed for robotic surgery. These regions are defined pre-operatively using MRI segmentation techniques developed with the help of a simulator, ROBO-SIM. The intraoperative target location is tracked in real-time using ultrasound transducers. By applying updates using the ultrasound probe, safety is maintained by compensating for brain-shift. The overall system is being evaluated on phantoms.

A robotic system to take blood samples autonomously from the forearm is presented and preliminary results are discussed which demonstrate its feasibility. Force/position profiles, while pressing a flat-headed probe against the surface of the skin, enable the determination of a vein's location to within 1 mm on a phantom. When a needle is inserted, the characteristic force/position profile, on puncturing the vein wall, is distinctive enough to implement automatic needle withdrawal to prevent overshoot. Future developments of the project are presented that provide both an autonomous blood sampling robot and a force-feedback surgical trainer.

A generic framework for a computer-assisted system for both soft tissue endoscopic surgery and surgical training is being researched and developed. The concept demonstrator is a specific system for transurethral prostatic resection (TURP). The main novelty of the research is that it is not confined to an in vitro trainer system. An in vivo monitoring version of the system, for use in the operating theater, is also being researched. This paper presents the framework's structure and design using the United Modeling Language. It also discusses and justifies the underlying information technologies chosen to implement this approach. Object-oriented concepts and well-proven mathematical tools have been adopted as the foundation of this research and development. The rationale for having chosen such tools is presented. The objectives are to arrive at a system which is modular, general, and reusable.