no code implementations • 8 Apr 2024 • Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz, Paul G. Plöger
To investigate the utility of brain-inspired sensing and data processing, we developed a neuromorphic approach to obstacle avoidance on a camera-equipped manipulator.
no code implementations • 28 Feb 2024 • Santosh Thoduka, Nico Hochgeschwender, Juergen Gall, Paul G. Plöger
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.
no code implementations • 4 Jun 2023 • Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization tests.
1 code implementation • 21 Dec 2022 • Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
State-of-the-art object detectors are treated as black boxes due to their highly non-linear internal computations.
1 code implementation • 29 Jul 2021 • Santosh Thoduka, Juergen Gall, Paul G. Plöger
Our method learns to predict the motions that occur during the nominal execution of a task, including camera and robot body motion.
1 code implementation • 2 Sep 2020 • Sasi Kiran Gaddipati, Deebul Nair, Paul G. Plöger
Automatic Short Answer Grading (ASAG) is the process of grading the student answers by computational approaches given a question and the desired answer.
1 code implementation • 23 Mar 2020 • Deebul Nair, Amirhossein Pakdaman, Paul G. Plöger
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.