262 resources related to Animal behavior
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The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
2009 International Conference on Computational Intelligence and Software Engineering, 2009
A novel Lagrangian "individual-based" isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by practical stability theoretical analysis and numerical simulation. Practical stability analysis and numerical simulations results further indicate that the individual members ...
2006 IEEE International Symposium on MicroNanoMechanical and Human Science, 2006
In this paper, we propose an energy efficient swing back control for the braciation robot. In the previous work, brachiation controller was composed of two actions: swing-back and locomotion. The purpose of swing-back is to excite robot so as to achieve locomotion successfully. While locomotion action is to move forward by releasing a brun with arm in moving direction and ...
Proceedings of the International Joint Conference on Neural Networks, 2003., 2003
Summary form only given. Recent results from the ethological literature challenge some widely held views about the development of animal behavior and offer new directions for research into the organization of synthetic behavior systems. The process of development is often seen as one of continual refinement, with infantile behaviors representing the primitive precursors of adult behavior. While this notion is ...
Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999
In this paper, we introduce a low-cost system for animal behavior measurement. This system includes four animal experiment cages, each cage being attached to a very sensitive vibration sensor. The output signal of each vibration sensor is connected to a four-channel data acquisition system. The vibration sensor we adopt here is modified from a low cost piezoelectric buzzer. The self-made ...
Proceedings. 2005 First International Conference on Neural Interface and Control, 2005., 2005
The design of implantable neuromuscular stimulator used in the behavior experiments desires that the stimulator has maximum functionality to meet the need of the implanted device, such as small size, reliable, safe and easy to use. In this thesis, we consider the basic problem above and two types devices of the stimulator are developed. The first device developed uses standard ...
IEEE Standards Association: A World Without Standards - Lights Out
Provably-Correct Robot Control with LTLMoP, OMPL and ROS
Robotics History: Narratives and Networks Oral Histories:Bob McGhee
IEEE Magnetics Distinguished Lecture - Alison B. Flatau
IEEE Themes - Learning about human behavior from mobile phone data
Antonio Skarmeta: ARMOUR: Large-Scale Experiments for IoT Security and Trust: WF-IoT 2016
Talking Dog Can Save Lives: IEEE @ SXSW 2017
Network Analysis: RF Boot Camp
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
Q&A: ARMOUR and Security Certification: WF-IoT 2016
Behavioral Signal Processing: Enabling human-centered behavioral informatics
Automated Driving: What’s Next? - Seval Oz, Fog World Congress 2017
Dr. Scott Fish
The Autonomous City Explorer (ACE) Project--Mobile Robot Navigation in Highly Populated Urban Environments
ICASSP 2010 - Advances in Neural Engineering
Voltage Metrology with Superconductive Electronics
IEEE Themes - Social dynamics in peer-to-peer sharing networks
Micro-Apps 2013: Optimizing Chip, Module, Board Transitions Using Integrated EM and Circuit Design Simulation Software
Fun and Games with Artificial Intelligence: David B. Fogel
A novel Lagrangian "individual-based" isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by practical stability theoretical analysis and numerical simulation. Practical stability analysis and numerical simulations results further indicate that the individual members living in group during the course of coordinative motion can realize the mutual aggregating behavior, the motion of each individual member is a combination of the inter-individual interactions, meanwhile, which are also presented to demonstrate the effectiveness of our model. The attraction/repulsion function is odd, so the attractive force and repulsion force taking effect in opposite direction that leads to aggregation behavior.
In this paper, we propose an energy efficient swing back control for the braciation robot. In the previous work, brachiation controller was composed of two actions: swing-back and locomotion. The purpose of swing-back is to excite robot so as to achieve locomotion successfully. While locomotion action is to move forward by releasing a brun with arm in moving direction and gripping the target brunch with other arm. However, energy efficiency has not been considered in the previous swing-back control, hence we propose a novel method to achieve energy efficient brachiation by exacting a swing-back during locomotion. Experimental results show that the proposed method can improve the locomotion action as much an over 30% in energy consumption
Summary form only given. Recent results from the ethological literature challenge some widely held views about the development of animal behavior and offer new directions for research into the organization of synthetic behavior systems. The process of development is often seen as one of continual refinement, with infantile behaviors representing the primitive precursors of adult behavior. While this notion is intuitively pleasing, there are two ways in which it may be incorrect. First, Coppinger (Coppinger and Smith 1990) argues that infantile behaviors are just as well adapted as adult behaviors, but adapted to the challenges that the organism faces during its early life and early social context. In his view, development is best understood as a process of, 'swapping' elements in the behavioral repertoire rather than refining them; the adult version of a behavior, in other words, is a distinct replacement for its juvenile counterpart, not an outgrowth of it. The second problem with the traditional view of behavioral development is that infantile behaviors are often expressed in an entirely different motivational context than their adult counterparts. Indeed, infantile behaviors that satisfy a particular motivational system such as hunger may be controlled by entirely different motivational systems. Hall and Willams have shown, for example, that during the first several weeks of life, a rat pup's suckling rate is independent of how hungry it is. That is, rat pups suckle because they are innately motivated to do so, not because they are hungry. Similarly, Hogan (Hogan 1999) suggests that during the first 48 hours of a chick's life, the amount that it pecks has nothing to do with its level of hunger. Leyhausen (Lorenz and Leyhausen 1973) has shown that the behaviors that make up the sequence of predatory behaviors in cats are refined through play, often well before the cat ever makes 'the connection' between the acquisition of prey and a subsequent reduction in hunger. What is going on here? In the first two cases, the juvenile behaviors act as 'fail-safe' mechanisms to ensure that the creature's needs are met without needing an innate or learned connection between the behaviors and the critical motivational systems that they act to satisfy. In the latter case, behaviors that will be critically important in adulthood are initially expressed and refined in a context in which the costs of failure are low, i.e. the creature's life doesn't depend on how well they perform the behavior at that given moment. Both of these concerns suggest that by re-examining our assumptions about development in animals, we may be able to glean generally useful organizing principles for the design of adaptive computational systems.
In this paper, we introduce a low-cost system for animal behavior measurement. This system includes four animal experiment cages, each cage being attached to a very sensitive vibration sensor. The output signal of each vibration sensor is connected to a four-channel data acquisition system. The vibration sensor we adopt here is modified from a low cost piezoelectric buzzer. The self-made data acquisition system has four 24 bit A/D converters controlled by a signal- chip microprocessor. The microprocessor then sends this vibration information into a PC computer from a RS-232 port for animal behavior analysis.
The design of implantable neuromuscular stimulator used in the behavior experiments desires that the stimulator has maximum functionality to meet the need of the implanted device, such as small size, reliable, safe and easy to use. In this thesis, we consider the basic problem above and two types devices of the stimulator are developed. The first device developed uses standard CMOS IC, and it can provide bipolar interval pulse sequence as electrical stimulation in order to avoid the effect of direct current The function of the second device is specified by software rather than by silicon hardware, allowing a single device to be programmed for different functions. The two devices have been successfully used in animal experiments, especially on rat's experiments.
In this paper, we propose a methodology for dcsigning behaviors bascd on a real experiment with robots. We give thc control of the robot to a person, who perceives the cnvironmcnt through thc perception of the robot, and acts in the environment by the most primitive actions of the robot. Thc person reports his control proccss during the action, and his report is recorded and analyzcd for finding those behaviors and stalcs hat best rcprcscnt his performance. We have applied this methodology to specify behaviors for a team of soccer playing robots and showed the result.
Trajectory prediction is a challenging problem in the fields of computer vision, robotics, and machine learning, and a number of methods for trajectory prediction have been proposed. Most methods generate trajectories that move toward a goal in a straight line (goal-directed) while avoiding obstacles. However, there are not only such goal-directed trajectories but also trajectories that taking detours to reach the goal (non-goal-directed). In this paper, we propose a method of predicting such non-goal-directed trajectories based on the maximum entropy inverse reinforcement learning framework. Our method introduces travel time as a state of the Markov decision process. As a practical example, we apply the proposed method to seabird trajectories measured using global positioning system loggers. Experimental results show that the proposed method can effectively predict non-goal- directed trajectories.
This paper reports on the development of a mobile robot equipped with semiconductor gas sensors which has been designed to track odour plumes in the natural environment to locate their sources. One principal application could be the automatic location of explosives and analogies can be made with animal behaviour, particularly dogs, which can track both objects and persons using smell. A novel multi-sensor head is proposed and the design of the mobile robot and its tracking strategies presented. The system is evaluated using isopropyl alcohol as the odour source. Results are presented for a number of different environmental conditions.
The overlay of a neural interface upon a TinyOS-based sensing and communication platform is described. The system amplifies, digitally encodes, and transmits two EEG channels of neural signals from an un-tethered subject to a remote gateway, which routes the signals to a client PC. This work demonstrates the viability of the TinyOS-based sensor technology as a foundation for chronic remote biological monitoring applications, and thus provides an opportunity to create a system that can leverage from the frequent networking and communications advancements being made by the global TinyOS- development community.
Artificial fish swarm algorithm (AFSA) is a novel intelligent optimization algorithm. It has many advantages, such as good robustness, global search ability, tolerance of parameter setting, and it is also proved to be insensitive to initial values. However, it has some weaknesses as low optimizing precision and low convergence speed in the later period of the optimization. In this paper, an improved AFSA (IAFSA) is proposed with global information added to the artificial fish position in updating process. The experimental results indicate that the optimization precision and the convergence speed of the proposed method are significantly improved when compared with those of original AFSA.
No standards are currently tagged "Animal behavior"