Browsing by Author "Öztop, Erhan"
Now showing items 1-20 of 66
-
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 ... -
An actor-critic reinforcement learning approach for bilateral negotiation
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ... -
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 ... -
Adaptive shared control with human intention estimation for human agent collaboration
Amirshirzad, Negin; Uğur, E.; Bebek, Özkan; Öztop, Erhan (IEEE, 2022)In this paper an adaptive shared control frame-work for human agent collaboration is introduced. In this framework the agent predicts the human intention with a confidence factor that also serves as the control blending ... -
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 ... -
Combined weight and density bounds on the polynomial threshold function representation of Boolean functions
Öztop, Erhan; Asada, M. (Elsevier, 2022-08)In an earlier report it was shown that an arbitrary n-variable Boolean function f can be represented as a polynomial threshold function (PTF) with 0.75×2n or less number of monomials. In this report, we derive an upper ... -
Computational approaches to brain mechanisms of action recognition and emotion
Kırtay, Murat (2015-08)Through evolution living beings have gained unique features to deal with apparently easy but computationally expensive problems such as mate selection, learning sensorimotor skills and decision making. Thus, understanding ... -
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. ... -
Deepsym: Deep symbol generation and rule learning for planning from unsupervised robot interaction
Ahmetoglu, A.; Seker, M. Y.; Piater, J.; Öztop, Erhan; Ugur, E. (AI Access Foundation, 2022)Symbolic planning and reasoning are powerful tools for robots tackling complex tasks. However, the need to manually design the symbols restrict their applicability, especially for robots that are expected to act in open-ended ... -
Dexterous manipulation with a robotic hand
Kaya, Osman (2017-06)In robotics, flexible and the dexterous manipulation are one of the most desired type of skills. To this end, we investigate dexterous manipulation skills on an anthropomorphic robot hand. In the first part of the study, ... -
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
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 ... -
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 ... -
Environmental force estimation for a robotic hand : compliant contact detection
Kaya, Osman; Yıldırım, Mehmet Can; Kuzuluk, Nisan; Çiçek, Emre; Bebek, Özkan; Öztop, Erhan; Uğurlu, Regaip Barkan (IEEE, 2015)This paper presents a model based compensation method to enable environmental force estimation for a robotic hand with no tactile or force sensors. To this end, we utilize multi-joint robot dynamics and disturbance observer ...
Share this page
