Bambang R I Y A N T O Trilaksono | Institut Teknologi Bandung (original) (raw)

Papers by Bambang R I Y A N T O Trilaksono

Research paper thumbnail of Free Model of Sentence Classifier for Automatic Extraction of Topic Sentences

Research paper thumbnail of Intelligent Unmanned Systems: Theory and Applications

The book covers multi-faceted aspects of intelligent unmanned systems. A wide array of relevant t... more The book covers multi-faceted aspects of intelligent unmanned systems. A wide array of relevant theory and applications are presented to address the current and future challenges in the area of unmanned systems. The book largely represents the extended version of select papers from the International Conference on Intelligent Unmanned System ICIUS 2007 which was jointly organized by the Center for Unmanned System Studies at Institut Teknologi Bandung, Artificial Muscle Research Center at Konkuk University and Institute ...

Research paper thumbnail of Designing embedded fish sensor for underwater robot

Indian Journal of Geo-Marine Sciences

Commercial fish finders have already been known and widely used in so many real applications. How... more Commercial fish finders have already been known and widely used in so many real applications. However, sometimes these kinds of instrument are not suitable for underwater robotic or submarine robot applications. The size and the interfacing features are not designed to meet the requirements of underwater robot application purposes. This system relies on an Artificial Neural Network implemented on an embedded microcontroller. By using a proximity ping sensor widely used in mobile robot with some dedicated signal preconditioning and processing of extracted features with the proposed algorithm, a fish detection and classification system has been realized. The proposed system gives satisfactory achievement with respective maximum values of 100% for detection and 94% for classification. Also the existence and the type of fish can be known and the behavior of group can also be revealed by statistically interpretations such as hovering passion and sparse swimming mode.

Research paper thumbnail of Autonomous UAV System Development for Payload Dropping Mission

Abstract—In this paper, power and autonomous system in UAV (Unmanned Aerial Vehicle) for pay... more Abstract—In this paper, power and autonomous system in UAV (Unmanned Aerial Vehicle) for payload dropping mission will be presented. The UAV consists of two main parts, airframe and the avionics system. There are two important subsystems of avionics system which will be discussed, power system and autonomous system. There are three Li-Poly batteries applied in this system to power the autonomous system. The autonomous system consists of an Ardupilot Mega v2.4.2 board (autonomous board), a GPS (Global Positioning System) sensor, attitude sensors, ESC (Electronic Speed Controller), servos, a brushless motor, a camera, a data transmitter, an Audio/Video transmitter, and also a Radio RC receiver. This UAV was designed to participate Kontes Robot Terbang Indonesia 2013 (Indonesia Aerial Robot Contest 2013), payload dropping category, at Institut Teknologi Bandung, Indonesia. In this competition, provided a
mission which the UAV has to drop payloads in some target points which is only known when UAV in the flight time. The UAV has to fly autonomously point-to-point while it also search the true point to drop the payloads by camera capturing. By integrating UAV’s system with GCS (Ground Control System), the true point will be known by the operators in the ground control station and the mission can be accomplished.

Keywords—Airframe, power system, autonomous system, Kontes
Robot Terbang Indonesia 2013, dropping payloads.

Research paper thumbnail of Feature Selection for Automatic Classification of Sentences in Scientific Texts

Proceedings of the KNIF 2010

Classification of sentences in scientific texts according to their rhetorical role is useful for ... more Classification of sentences in scientific texts according to their rhetorical role is useful for managing information contained in the texts. Argumentative Zoning facilitates such classification by providing an annotation scheme with which sentences can be classified based on a set of features derived from shallow characteristics of the sentence, enabling automatic assignment of the categories. However, the usefulness of the features may vary. In this paper, feature selection is performed to find the set of features which gives the best accuracy for Argumentative Zoning using iterative subtractive analysis. The classifiers used are the Naïve Bayes, SVM with linear kernel, and SVM with RBF kernel, allowing for a comparison of the optimum feature set for these classifiers. To see what features have most influence on the classification decision at the category level, feature selection is also performed for each individual category.

Research paper thumbnail of Consensus-based controllers for spacecraft attitude alignment: Simulation results

… (ICICI-BME), 2011 …, Jan 1, 2011

Abstract Spacecraft formation flying control using consensus algorithm means each spacecraft or s... more Abstract Spacecraft formation flying control using consensus algorithm means each spacecraft or satellite in a team updates its state based on the information states of its local neighbours in such a way that the final information state of each agent converges to a ...

Research paper thumbnail of Static output feedback control synthesis for nonlinear polynomial fuzzy systems using a sum of squares approach

… (ICICI-BME), 2011 …, Jan 1, 2011

This paper addresses the static output feedback control synthesis problem for nonlinear polynomia... more This paper addresses the static output feedback control synthesis problem for nonlinear polynomial fuzzy systems using a sum of squares (SOS) approach. The open-loop nonlinear systems is represented in the polynomial fuzzy model. By considering the closed-loop system in the output feedback control scheme and the polynomial Lyapunov functions that contain quadratic Lyapunov functions as special cases, sufficient conditions for a solution to the problems of stability analysis and control design can be derived in the representation form of the SOS. It can be numerically solved via the SOSTOOLS.

Research paper thumbnail of Reinforcement learning with heuristic to solve POMDP problem in mobile robot path planning

Electrical …, Jan 1, 2011

Abstract In this paper we propose a method of presenting a special case of Value Function as a so... more Abstract In this paper we propose a method of presenting a special case of Value Function as a solution to POMDP in mobile robot navigation. By using this new method the Value Function complexity will be reduced and more intuitive. We also propose a new ...

Research paper thumbnail of Simplified Q-learning for holonomic mobile robot navigation

… (ICICI-BME), 2011 …, Jan 1, 2011

Abstract In this paper we propose a method of presenting a special case of Value Function as a so... more Abstract In this paper we propose a method of presenting a special case of Value Function as a solution to POMDP in holonomic mobile robot navigation. By using this new method the Value Function complexity will be reduced and more intuitive. The result of this new Value ...

Research paper thumbnail of New resampling algorithm for particle filter localization for mobile robot with 3 ultrasonic sonar sensor

Electrical …, Jan 1, 2011

Abstract This paper present a particle filter also known as Monte Carlo Localization (MCL) to sol... more Abstract This paper present a particle filter also known as Monte Carlo Localization (MCL) to solve the localization problem presented before. A new resampling mechanism is proposed. This new resampling mechanism enables the particle filter to converge quicker and more ...

Research paper thumbnail of A Novel Resampling Method for Particle Filter for Mobile Robot Localization

Research paper thumbnail of Positive Real Synthesis of Networked Control System: An LMI Approach

Intelligent Unmanned Systems: Theory and …, Jan 1, 2009

Research paper thumbnail of A Public-Key Watermarking Method for Still Images Based on Random Permutation

Research paper thumbnail of Modeling Waste Heat Recovery System of Industrial Ammonia Process Plant Using LPV Identification

World Congress, Jan 1, 2008

... Conference Editor: Chung, Myung Jin, Misra, Pradeep. Authors Bambang, Riyanto; Subagio, Heri;... more ... Conference Editor: Chung, Myung Jin, Misra, Pradeep. Authors Bambang, Riyanto; Subagio, Heri; Praharso, Praharso. ... Bambang, RT and E. Hendarwin (2006). ... 69-79. Bamieh, B., L. Giarr e, T. Raimondi, D. Bauso, M. Lodato and D. Rosa (2001). ...

Research paper thumbnail of Real-Time DSP Implementation of Active Noise Control for Broadband Noise Using Adaptive LMS Filter Algorithm

Research paper thumbnail of Positive Real Synthesis of Networked Control System An LMI Approach

Arxiv preprint arXiv:0804.4754, Jan 1, 2008

Research paper thumbnail of H∞ Estimation Approach to Active Noise Control: Theory, Algorithm and Real-Time Implementation

ITB Journal of Engineering Science, Jan 1, 2007

Research paper thumbnail of On the controllability of a class of time varying linear systems via Taylor series

Decision and Control, …, Jan 1, 1992

A necessary and sufficient condition for controllability of a class of time-varying linear system... more A necessary and sufficient condition for controllability of a class of time-varying linear systems by means of a Taylor series approach is proposed. Based on this condition, a procedure for determining controllability of the system is derived using the Taylor operational property of integration. Using this approach, the controllability of a class of a time varying linear systems can be

Research paper thumbnail of Modeling and control of unmanned flying robots

Electrical Engineering and …, Jan 1, 2011

Abstract The recent decade has witnessed rapid progress in the design and development of autonomo... more Abstract The recent decade has witnessed rapid progress in the design and development of autonomous flying robots. The paper closely examines the evolution of modeling and control for such vehicles. Modeling is viewed as an integral part of model-based control synthesis. The first half of the paper is focused on the review of modelling method for unmanned flying robot dynamics. The second half of the paper discusses a wide array of control methodologies that have proposed and reported in the literature. The state of the art of ...

Research paper thumbnail of Feature Level Fusion of Speech and Face Image Based Person Identification System

Computer Engineering and …, Jan 1, 2010

Page 1. Feature Level Fusion of Speech and Face Image based Person Identification System Gunawan ... more Page 1. Feature Level Fusion of Speech and Face Image based Person Identification System Gunawan Sugiarta YB. ... At the decision level, the final decisions made by the individual systems are consolidated by employing techniques such as majority voting. ...

Research paper thumbnail of Free Model of Sentence Classifier for Automatic Extraction of Topic Sentences

Research paper thumbnail of Intelligent Unmanned Systems: Theory and Applications

The book covers multi-faceted aspects of intelligent unmanned systems. A wide array of relevant t... more The book covers multi-faceted aspects of intelligent unmanned systems. A wide array of relevant theory and applications are presented to address the current and future challenges in the area of unmanned systems. The book largely represents the extended version of select papers from the International Conference on Intelligent Unmanned System ICIUS 2007 which was jointly organized by the Center for Unmanned System Studies at Institut Teknologi Bandung, Artificial Muscle Research Center at Konkuk University and Institute ...

Research paper thumbnail of Designing embedded fish sensor for underwater robot

Indian Journal of Geo-Marine Sciences

Commercial fish finders have already been known and widely used in so many real applications. How... more Commercial fish finders have already been known and widely used in so many real applications. However, sometimes these kinds of instrument are not suitable for underwater robotic or submarine robot applications. The size and the interfacing features are not designed to meet the requirements of underwater robot application purposes. This system relies on an Artificial Neural Network implemented on an embedded microcontroller. By using a proximity ping sensor widely used in mobile robot with some dedicated signal preconditioning and processing of extracted features with the proposed algorithm, a fish detection and classification system has been realized. The proposed system gives satisfactory achievement with respective maximum values of 100% for detection and 94% for classification. Also the existence and the type of fish can be known and the behavior of group can also be revealed by statistically interpretations such as hovering passion and sparse swimming mode.

Research paper thumbnail of Autonomous UAV System Development for Payload Dropping Mission

Abstract—In this paper, power and autonomous system in UAV (Unmanned Aerial Vehicle) for pay... more Abstract—In this paper, power and autonomous system in UAV (Unmanned Aerial Vehicle) for payload dropping mission will be presented. The UAV consists of two main parts, airframe and the avionics system. There are two important subsystems of avionics system which will be discussed, power system and autonomous system. There are three Li-Poly batteries applied in this system to power the autonomous system. The autonomous system consists of an Ardupilot Mega v2.4.2 board (autonomous board), a GPS (Global Positioning System) sensor, attitude sensors, ESC (Electronic Speed Controller), servos, a brushless motor, a camera, a data transmitter, an Audio/Video transmitter, and also a Radio RC receiver. This UAV was designed to participate Kontes Robot Terbang Indonesia 2013 (Indonesia Aerial Robot Contest 2013), payload dropping category, at Institut Teknologi Bandung, Indonesia. In this competition, provided a
mission which the UAV has to drop payloads in some target points which is only known when UAV in the flight time. The UAV has to fly autonomously point-to-point while it also search the true point to drop the payloads by camera capturing. By integrating UAV’s system with GCS (Ground Control System), the true point will be known by the operators in the ground control station and the mission can be accomplished.

Keywords—Airframe, power system, autonomous system, Kontes
Robot Terbang Indonesia 2013, dropping payloads.

Research paper thumbnail of Feature Selection for Automatic Classification of Sentences in Scientific Texts

Proceedings of the KNIF 2010

Classification of sentences in scientific texts according to their rhetorical role is useful for ... more Classification of sentences in scientific texts according to their rhetorical role is useful for managing information contained in the texts. Argumentative Zoning facilitates such classification by providing an annotation scheme with which sentences can be classified based on a set of features derived from shallow characteristics of the sentence, enabling automatic assignment of the categories. However, the usefulness of the features may vary. In this paper, feature selection is performed to find the set of features which gives the best accuracy for Argumentative Zoning using iterative subtractive analysis. The classifiers used are the Naïve Bayes, SVM with linear kernel, and SVM with RBF kernel, allowing for a comparison of the optimum feature set for these classifiers. To see what features have most influence on the classification decision at the category level, feature selection is also performed for each individual category.

Research paper thumbnail of Consensus-based controllers for spacecraft attitude alignment: Simulation results

… (ICICI-BME), 2011 …, Jan 1, 2011

Abstract Spacecraft formation flying control using consensus algorithm means each spacecraft or s... more Abstract Spacecraft formation flying control using consensus algorithm means each spacecraft or satellite in a team updates its state based on the information states of its local neighbours in such a way that the final information state of each agent converges to a ...

Research paper thumbnail of Static output feedback control synthesis for nonlinear polynomial fuzzy systems using a sum of squares approach

… (ICICI-BME), 2011 …, Jan 1, 2011

This paper addresses the static output feedback control synthesis problem for nonlinear polynomia... more This paper addresses the static output feedback control synthesis problem for nonlinear polynomial fuzzy systems using a sum of squares (SOS) approach. The open-loop nonlinear systems is represented in the polynomial fuzzy model. By considering the closed-loop system in the output feedback control scheme and the polynomial Lyapunov functions that contain quadratic Lyapunov functions as special cases, sufficient conditions for a solution to the problems of stability analysis and control design can be derived in the representation form of the SOS. It can be numerically solved via the SOSTOOLS.

Research paper thumbnail of Reinforcement learning with heuristic to solve POMDP problem in mobile robot path planning

Electrical …, Jan 1, 2011

Abstract In this paper we propose a method of presenting a special case of Value Function as a so... more Abstract In this paper we propose a method of presenting a special case of Value Function as a solution to POMDP in mobile robot navigation. By using this new method the Value Function complexity will be reduced and more intuitive. We also propose a new ...

Research paper thumbnail of Simplified Q-learning for holonomic mobile robot navigation

… (ICICI-BME), 2011 …, Jan 1, 2011

Abstract In this paper we propose a method of presenting a special case of Value Function as a so... more Abstract In this paper we propose a method of presenting a special case of Value Function as a solution to POMDP in holonomic mobile robot navigation. By using this new method the Value Function complexity will be reduced and more intuitive. The result of this new Value ...

Research paper thumbnail of New resampling algorithm for particle filter localization for mobile robot with 3 ultrasonic sonar sensor

Electrical …, Jan 1, 2011

Abstract This paper present a particle filter also known as Monte Carlo Localization (MCL) to sol... more Abstract This paper present a particle filter also known as Monte Carlo Localization (MCL) to solve the localization problem presented before. A new resampling mechanism is proposed. This new resampling mechanism enables the particle filter to converge quicker and more ...

Research paper thumbnail of A Novel Resampling Method for Particle Filter for Mobile Robot Localization

Research paper thumbnail of Positive Real Synthesis of Networked Control System: An LMI Approach

Intelligent Unmanned Systems: Theory and …, Jan 1, 2009

Research paper thumbnail of A Public-Key Watermarking Method for Still Images Based on Random Permutation

Research paper thumbnail of Modeling Waste Heat Recovery System of Industrial Ammonia Process Plant Using LPV Identification

World Congress, Jan 1, 2008

... Conference Editor: Chung, Myung Jin, Misra, Pradeep. Authors Bambang, Riyanto; Subagio, Heri;... more ... Conference Editor: Chung, Myung Jin, Misra, Pradeep. Authors Bambang, Riyanto; Subagio, Heri; Praharso, Praharso. ... Bambang, RT and E. Hendarwin (2006). ... 69-79. Bamieh, B., L. Giarr e, T. Raimondi, D. Bauso, M. Lodato and D. Rosa (2001). ...

Research paper thumbnail of Real-Time DSP Implementation of Active Noise Control for Broadband Noise Using Adaptive LMS Filter Algorithm

Research paper thumbnail of Positive Real Synthesis of Networked Control System An LMI Approach

Arxiv preprint arXiv:0804.4754, Jan 1, 2008

Research paper thumbnail of H∞ Estimation Approach to Active Noise Control: Theory, Algorithm and Real-Time Implementation

ITB Journal of Engineering Science, Jan 1, 2007

Research paper thumbnail of On the controllability of a class of time varying linear systems via Taylor series

Decision and Control, …, Jan 1, 1992

A necessary and sufficient condition for controllability of a class of time-varying linear system... more A necessary and sufficient condition for controllability of a class of time-varying linear systems by means of a Taylor series approach is proposed. Based on this condition, a procedure for determining controllability of the system is derived using the Taylor operational property of integration. Using this approach, the controllability of a class of a time varying linear systems can be

Research paper thumbnail of Modeling and control of unmanned flying robots

Electrical Engineering and …, Jan 1, 2011

Abstract The recent decade has witnessed rapid progress in the design and development of autonomo... more Abstract The recent decade has witnessed rapid progress in the design and development of autonomous flying robots. The paper closely examines the evolution of modeling and control for such vehicles. Modeling is viewed as an integral part of model-based control synthesis. The first half of the paper is focused on the review of modelling method for unmanned flying robot dynamics. The second half of the paper discusses a wide array of control methodologies that have proposed and reported in the literature. The state of the art of ...

Research paper thumbnail of Feature Level Fusion of Speech and Face Image Based Person Identification System

Computer Engineering and …, Jan 1, 2010

Page 1. Feature Level Fusion of Speech and Face Image based Person Identification System Gunawan ... more Page 1. Feature Level Fusion of Speech and Face Image based Person Identification System Gunawan Sugiarta YB. ... At the decision level, the final decisions made by the individual systems are consolidated by employing techniques such as majority voting. ...