Browsing Computer Science by OzU Authors "Öztop, Erhan"
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Action and language mechanisms in the brain: data, models and neuroinformatics
Arbib, M. A.; Bonaiuto, J. J.; Bornkessel-Schlesewsky, I.; Kemmerer, D.; MacWhinney, B.; Årup Nielsen, F.; Öztop, Erhan (Springer Science+Business Media, 2014-01)We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for ... -
Adaptive inverse kinematics of a 9-DOF surgical robot for effective manipulation
Sunal, Begüm; Öztop, Erhan; Bebek, Özkan (IEEE, 2019)In a robotic-assisted surgical system, fine and precise movement is essential. However, when the user wishes to cover a wider area during tele-operation, the configuration designed for precise motion may restrict the user ... -
Affordance-based altruistic robotic architecture for human–robot collaboration
Imre, M.; Öztop, Erhan; Nagai, Y.; Ugur, E. (Sage, 2019-08)This article proposes a computational model for altruistic behavior, shows its implementation on a physical robot, and presents the results of human-robot interaction experiments conducted with the implemented system. ... -
Algorithms for obtaining parsimonious higher order neurons
Sezener, C. E.; Öztop, Erhan (Springer International Publishing, 2017)Most neurons in the central nervous system exhibit all-or-none firing behavior. This makes Boolean Functions (BFs) tractable candidates for representing computations performed by neurons, especially at finer time scales, ... -
Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems
Ersen, M.; Öztop, Erhan; Sariel, S. (IEEE, 2017-09)Service robots are expected to play an important role in our daily lives as our companions in home and work environments in the near future. An important requirement for fulfilling this expectation is to equip robots with ... -
Cooperative multi-task assignment for heterogonous UAVs
Özalp, N.; Ayan, U.; Öztop, Erhan (IEEE, 2015)This research is focused on the cooperative multi-task assignment problem for heterogeneous UAVs, where a set of multiple tasks, each requiring a predetermined number of UAVs, have to be completed at specific locations. ... -
Dynamic movement primitives for human movement recognition
Pehlivan, Alp Burak; Öztop, Erhan (IEEE, 2015)Dynamic Movement Primitives (DMPs)-originally a method for movement trajectory generation [1] has been also used for recognition tasks [2, 3]. However there has not been a systematic comparison between other recognition ... -
An ecologically valid reference frame for perspective invariant action recognition
Bayram, Berkay; Uğur, E.; Asada, M.; Öztop, Erhan (IEEE, 2021)In robotics, objects and body parts can be represented in various coordinate frames to ease computation. In biological systems, body or body part centered coordinate frames have been proposed as possible reference frames ... -
Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration
Bugur, S.; Öztop, Erhan; Nagai, Y.; Ugur, E. (IEEE, 2021-06)In this study, we propose an effective action parameter exploration mechanism that enables efficient discovery of robot actions through interacting with objects in a simulated table-top environment. For this, the robot ... -
Effective robot skill synthesis via divided control
Kaya, Osman; Öztop, Erhan (IEEE, 2018-07-02)Learning from demonstration is a powerful method for obtaining task skills, which aim to eliminate the need for explicit robot programming. Classically, the tasks are demonstrated to the robot by means of either recorded ... -
Emergent emotion via neural computational energy conservation on a humanoid robot
Kırtay, Murat; Öztop, Erhan (IEEE, 2013)This paper presents our initial work on how emotion based behaviors may emerge through computational mechanisms. We hold that in addition to basic emotions such as anger and fear that serves bodily well being of the organism, ... -
Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task
Kırtay, M.; Vannucci, L.; Albanese, U.; Laschi, C.; Öztop, Erhan; Falotico, E. (Sage, 2021-02)Biological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed ... -
Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space
Sener, M. İ.; Nagai, Y.; Öztop, Erhan; Uğur, E. (IEEE, 2021)One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration ... -
Guest editorial special issue on continual unsupervised sensorimotor learning
Navarro-Guerrero, N.; Nguyen, S. M.; Öztop, Erhan; Zhong, J. (IEEE, 2021-06)The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all ... -
HMM bazlı 3 boyutlu insan hareketi tanıma ile insan ve robotun ortak çalışması
Pehlivan, Alp Burak; Öztop, Erhan (IEEE, 2014)We offer a system for a human-robot cooperation with natural communication in order to make using of robots in human-interactive tasks easier and more effective. This system includes a system with 3D motion capture cameras, ... -
Human adaptation to human–robot shared control
Amirshirzad, Negin; Kumru, Asiye; Öztop, Erhan (IEEE, 2019-04)Human-in-the-loop robot control systems naturally provide the means for synergistic human-robot collaboration through control sharing. The expectation in such a system is that the strengths of each partner are combined to ... -
Human motor adaptation in whole body motion
Babic, J.; Öztop, Erhan; Kawato, M. (2016)The main role of the sensorimotor system of an organism is to increase the survival of the species. Therefore, to understand the adaptation and optimality mechanisms of motor control, it is necessary to study the sensorimotor ... -
Human-in-the-loop control and task learning for pneumatically actuated muscle based robots
Teramae, T.; Ishihara, K.; Babič, J.; Morimoto, J.; Öztop, Erhan (Frontiers Media, 2018-11-06)Pneumatically actuated muscles (PAMs) provide a low cost, lightweight, and high power-To-weight ratio solution for many robotic applications. In addition, the antagonist pair configuration for robotic arms make it open to ... -
Imitation and mirror systems in robots through Deep Modality Blending Networks
Seker, M. Y.; Ahmetoglu, A.; Nagai, Y.; Asada, M.; Öztop, Erhan; Ugur, E. (Elsevier, 2022-02)Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be ... -
Inferring cost functions using reward parameter search and policy gradient reinforcement learning
Arditi, Emir; Kunavar, T.; Ugur, E.; Babic, J.; Öztop, Erhan (IEEE, 2021)This study focuses on inferring cost functions of obtained movement data using reward parameter search and policy gradient based Reinforcement Learning (RL). The behavior data for this task is obtained through a series of ...
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