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Distributed sensor arrays capable of detecting multiple spatially distributed stimuli are considered an important element in the …

The paper presents a user study characterizing the effect of vibrotactile feedback on performance and cognitive load during teleoperated robotic grasping and manipulation using an affordable bilateral system with a Leap Motion and vibrotactile glove controlling a sensorized robot hand, showing vibrotactile feedback improves teleoperation and reduces cognitive load especially for complex in-hand manipulation tasks.

The paper proposes a method using motion and tactile features to automatically segment atomic actions from teleoperated demonstrations for complex robotic tasks, provides a dataset of pick-and-place teleoperation with a dexterous hand, and shows the proposed features generalize between episodes and similar objects while tactile sensing improves activity recognition within demonstrations.

The paper presents a pipeline to predict safe robotic grasps of unknown objects using depth and tactile sensing. Three methods are compared to find optimal grasp points during tactile exploration - grid search, standard Bayesian Optimization, and Unscented Bayesian Optimization. Results show Unscented Bayesian Optimization provides higher confidence in discovering safe grasps with fewer exploratory observations. It converges faster to robust grasp points away from edges compared to other methods.

Human-robot object handover is a key skill for the future of human-robot collaboration. CORSMAL 2020 Challenge focuses on the …

The ability to detect that a grasped object is slipping from the robot gripper is a crucial skill for autonomous robotic manipulation. …

We present a system for temporal detection of social interactions. Many of the works until now have succeeded in recognising activities …

The automatic detection of anomalies in Activeand Assisted Living (AAL) environments is important formonitoring the wellbeing and …

This paper presents an RGB-D based human re-identification approach using novel biometrics features from the body’s volume. Existing …

We investigate how incremental learning of long-term human activity patterns improves the accuracy of activity classification over …