Brain inspired path planning algorithms for drones.

Introduction: With the development of artificial intelligence and brain science, brain-inspired navigation and path planning has attracted widespread attention.

Methods: In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky integrate-and-fire (LIF) neuron model.

A system for context-aware intraoperative augmented reality in dental implant surgery.

Purpose: Large volumes of information in the OR are ignored by surgeons when the amount outpaces human mental processing abilities. We developed an augmented reality (AR) system for dental implant surgery that acts as an automatic information filter, selectively displaying only relevant information. The purpose is to reduce information overflow and offer intuitive image guidance.

Estimating similarity of surgical situations with case-retrieval-nets.

Representation and recognition of surgical situations is a prerequisite for the development of context-aware surgical assistance systems. In this publication a method for recognition of surgical situations with Case-Retrieval-Nets is presented. It enables the estimation of similarity between models of surgical situations.

Augmented reality assistance for realization of incision planning and model-based analysis of the modified surface model.

In this paper an application for incision planning, AR-visualization of plan data and model-based analysis of the modified anatomical structure due to realization of the planned incision is presented. The developed algorithm detects modifications of the acquired surface model and generates a parameterized description of the wound.

Incremental learning of tasks from user demonstrations, past experiences, and vocal comments.

Since many years the robotics community is envisioning robot assistants sharing the same environment with humans. It became obvious that they have to interact with humans and should adapt to individual user needs. Especially the high variety of tasks robot assistants will be facing requires a highly adaptive and user-friendly programming interface.

Augmented reality with fibre optics.

In this paper we present the concept and the first results of the Fibre Optic Pointer - a miniaturized Augmented Reality system for craniofacial surgery. The objective is the integration into surgical instruments.

First clinical tests with the augmented reality system INPRES.

In this paper we present the results of the first patient experiment in craniofacial surgery of the INPRES system - an augmented reality system on the basis of a tracked see-through head-mounted display.

Risk reduction in craniofacial surgery using computer-based modeling and intraoperative immersion.

We present a two-stage concept for risk reduction in craniofacial surgery, consisting of preoperative risk modeling and intraoperative risk reduction. Preoperatively it is important to find and to visualize risk sources in order to minimize them. Our risk model is composed by superimposition of an isotropic risk potential and an anisotropic tissue field constituent.

Evaluation of INPRES--Intraoperative Presentation of surgical planning and simulation results.

In this paper we present fundamental results of the first evaluation of INPRES in a laboratory environment. While the system itself--an HMD-based approach for intraoperative augmented reality in head and neck surgery--has been described elsewhere several times, this paper will focus on methods and outcome of recently accomplished test procedures.