Browse Conferences
Improving a User’s Haptic Perceptual Sensitivity by Optimizing Effective Manipulability of a Redundant User Interface
Human perceptual sensitivity of various types of forces, e.g., stiffness and friction, is important for surgeons during robotic surgeries such as needle insertion and palpation. However, force feedback from robot end-effector is usually a c...
An Open-Source Platform for Cooperative, Semi-Autonomous Robotic Surgery
Introduction: In this paper, we present and assess a proof of concept platform for semi-autonomous, cooperative robotic surgery. The platform is easily reproducible thanks to simple hardware components and open-source software. Moreover, th...
A Classical Machine Learning Approach For Emg-Based Lower Limb Intention Detection For Human-Robot Interaction Systems
Surface Electromyography (sEMG)-based intention-detection systems of lower limb can intelligently augment human- robot interaction (HRI) systems to detect subject’s walking direction prior-to or during walking. Ten Subject-Exclusive (Subj-...
A Vision-Based Method For Estimating Contact Forces In Intracardiac Catheters
Atrial fibrillation is a kind of cardiac arrhythmia in which the electrical signals of the heart are uncoordinated. The prevalence of this disease is increasing globally and the curative treatment for this problem is catheter ablation thera...
Experimental Validation of Domain Knowledge Assisted Robotic Exploration and Source Localization
In situations where toxic or dangerous airborne material is leaking, mobile robots equipped with gas sensors are a safe alternative to human reconnaissance. This work presents the Domain Knowledge Assisted Robotic Exploration and Source Loc...
Deliberation For Intra-Vehicle Robotic Activities In Space
Intra-Vehicular Robotics (IVR) for space exploration vehicles describes robotic capabilities to perform Intra-vehicle activity (IVA) in an autonomous or remotely operated manner. This paper focuses on autonomy, and more specifically, on the...
Interpretable Anomaly Detection Using A Generalized Markov Jump Particle Filter
When performing anomaly detection on an autonomous vehicle’s sensory data, it is fundamental to infer the cause of the found anomalies. This paper proposes a method for learning prediction models and detecting anomalies by decomposing the ...
Optimal Multidimensional Cyclic Convolution Algorithms For Deep Learning And Computer Vision Applications
1D, 2D and multidimensional convolutions are basic tools in deep learning, notably in convolutional neural networks (CNNs) and in computer vision (template matching, correlation trackers). Therefore, fast 1D/2D/3D convolution algorithms are...
Perspectives on the Emerging Field of Autonomous Systems and its Theoretical Foundations
Autonomous systems are advanced intelligent systems and general AI technologies triggered by the transdisciplinary development in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, ...
Enabling Trust in Autonomous Human-Machine Teaming
The advancement of AI enables the evolution of machines from relatively simple automation to completely autonomous systems that augment human capabilities with improved quality and productivity in work and life. The singularity is near! How...