Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Schirner, Gunar"'
Autor:
Calatrava, Helena, Ranganathan, Aanjhan, Imbiriba, Tales, Schirner, Gunar, Akcakaya, Murat, Closas, Pau
This paper presents a radar target tracking framework for addressing main-beam range deception jamming attacks using random finite sets (RFSs). Our system handles false alarms and detections with false range information through multiple hypothesis tr
Externí odkaz:
http://arxiv.org/abs/2408.11361
This paper employs a reinforcement learning-based model identification method aimed at enhancing the accuracy of the dynamics for our snake robot, called COBRA. Leveraging gradient information and iterative optimization, the proposed approach refines
Externí odkaz:
http://arxiv.org/abs/2406.13700
Passive tumbling uses natural forces like gravity for efficient travel. But without an active means of control, passive tumblers must rely entirely on external forces. Northeastern University's COBRA is a snake robot that can morph into a ring, which
Externí odkaz:
http://arxiv.org/abs/2405.05447
Autor:
Salagame, Adarsh, Gangaraju, Kruthika, Nallaguntla, Harin Kumar, Sihite, Eric, Schirner, Gunar, Ramezani, Alireza
Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows for a unique blend of object manipulation through locomotion, referre
Externí odkaz:
http://arxiv.org/abs/2404.08714
Autor:
Salagame, Adarsh, Gangaraju, Kruthika, Nallaguntla, Harin Kumar, Sihite, Eric, Schirner, Gunar, Ramezani, Alireza
Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows for a unique blend of object manipulation through locomotion, referre
Externí odkaz:
http://arxiv.org/abs/2404.08174
Autor:
Rashvand, Narges, Witham, Kenneth, Maldonado, Gabriel, Katariya, Vinit, Prabhu, Nishanth Marer, Schirner, Gunar, Tabkhi, Hamed
Automatic modulation recognition (AMR) is vital for accurately identifying modulation types within incoming signals, a critical task for optimizing operations within edge devices in IoT ecosystems. This paper presents an innovative approach that leve
Externí odkaz:
http://arxiv.org/abs/2403.15417
Autor:
Potter, Michael, Akcakaya, Murat, Necsoiu, Marius, Schirner, Gunar, Erdogmus, Deniz, Imbiriba, Tales
Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs) involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition on the received radar echo, crucial for defense and aerospace applications. Previo
Externí odkaz:
http://arxiv.org/abs/2402.17987
Electromyography (EMG) data has been extensively adopted as an intuitive interface for instructing human-robot collaboration. A major challenge of the real-time detection of human grasp intent is the identification of dynamic EMG from hand movements.
Externí odkaz:
http://arxiv.org/abs/2104.09627
Autor:
Zandigohar, Mehrshad, Han, Mo, Sharif, Mohammadreza, Gunay, Sezen Yagmur, Furmanek, Mariusz P., Yarossi, Mathew, Bonato, Paolo, Onal, Cagdas, Padir, Taskin, Erdogmus, Deniz, Schirner, Gunar
Publikováno v:
Front. Robot. AI 11 (2024) Sec. Biomedical Robotics
Objective: For transradial amputees, robotic prosthetic hands promise to regain the capability to perform daily living activities. Current control methods based on physiological signals such as electromyography (EMG) are prone to yielding poor infere
Externí odkaz:
http://arxiv.org/abs/2104.03893
Autor:
Han, Mo, Günay, Sezen Ya{ğ}mur, Yıldız, İlkay, Bonato, Paolo, Onal, Cagdas D., Padır, Taşkın, Schirner, Gunar, Erdo{ğ}muş, Deniz
Limb deficiency severely affects the daily lives of amputees and drives efforts to provide functional robotic prosthetic hands to compensate this deprivation. Convolutional neural network-based computer vision control of the prosthetic hand has recei
Externí odkaz:
http://arxiv.org/abs/2103.04863