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Found 7 papers, 4 papers with code
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
To investigate the utility of brain-inspired sensing and data processing, we developed a neuromorphic approach to obstacle avoidance on a camera-equipped manipulator.
A Multimodal Handover Failure Detection Dataset and Baselines
To address this deficit, we present the multimodal Handover Failure Detection dataset, which consists of failures induced by the human participant, such as ignoring the robot or not releasing the object.
Sanity Checks for Saliency Methods Explaining Object Detectors
Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization tests.
DExT: Detector Explanation Toolkit
State-of-the-art object detectors are treated as black boxes due to their highly non-linear internal computations.
Using Visual Anomaly Detection for Task Execution Monitoring
Our method learns to predict the motions that occur during the nominal execution of a task, including camera and robot body motion.
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading
Automatic Short Answer Grading (ASAG) is the process of grading the student answers by computational approaches given a question and the desired answer.
Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification
In this paper, we propose a vision based grasp verification system using machine vision cameras, with the verification problem formulated as an image classification task.
