These studies compare neurotransmitter localization and the behavioral functions of homologous neurons in nudibranch molluscs to determine the types of changes that might underlie the evolution of species-specific behaviors. Serotonin (5-HT) immunohistochemistry in eleven nudibranch species indicated that certain groups of 5 HT-immunoreactive neurons, such as the Cerebral Serotonergic Posterior (CeSP) cluster, are present in all species. However, the locations and numbers of many other 5 HT-immunoreactive neurons were variable. Thus, particular parts of the serotonergic system have changed during the evolution of nudibranchs. To test whether the functions of homologous neurons are phylogenetically variable, comparisons were made in species with divergent behaviors. In Tritonia diomedea, which crawls and also swims via dorsal-ventral body flexions, the CeSP cluster includes the Dorsal Swim Interneurons (DSIs). It was previously shown that the DSIs are members of the swim central pattern generator (CPG); they are rhythmically active during swimming and, along with their neurotransmitter 5-HT, are necessary and sufficient for swimming. It was also known that the DSIs excite efferent neurons used in crawling. DSI homologues, the CeSP-A neurons, were identified in six species that do not exhibit dorsal-ventral swimming. Many physiological characteristics, including excitation of putative crawling neurons were conserved, but the CeSP A neurons were not rhythmically active in any of the six species. In the lateral flexion swimmer, Melibe leonina, the CeSP-A neurons and 5-HT, were sufficient, but not necessary, for swimming. Thus, homologous neurons, and their neurotransmitter, have functionally diverged in species with different behaviors. Homologous neurons in species with similar behaviors also exhibited functional divergence. Like Melibe, Dendronotus iris is a lateral flexion swimmer. Swim interneuron 1 (Si1) is in the Melibe swim CPG. However, its putative homologue in Dendronotus, the Cerebral Posterior ipsilateral Pedal (CPiP) neuron, was not rhythmically active during swim-like motor patterns, but could initiate such a motor pattern. Together, these studies suggest that neurons have changed their functional relationships to neural circuits during the evolution of species-specific behaviors and have functionally diverged even in species that exhibit similar behaviors.

No description available.

This thesis introduces a new measure of balance for bipedal robotics called the foot placement estimator (FPE). To develop this measure, stability first is defined for a simple biped. A proof of the stability of a simple biped in a controls sense is shown to exist using classical methods for nonlinear systems. With the addition of a contact model, an analytical solution is provided to define the bounds of the region of stability. This provides the basis for the FPE which estimates where the biped must step in order to be stable. By using the FPE in combination with a state machine, complete gait cycles are created without any precalculated trajectories. This includes gait initiation and termination. The bipedal model is then advanced to include more realistic mechanical and environmental models and the FPE approach is verified in a dynamic simulation. From these results, a 5-link, point-foot robot is designed and constructed to provide the final validation that the FPE can be used to provide closed-loop gait control. In addition, this approach is shown to demonstrate significant robustness to external disturbances. Finally, the FPE is shown in experimental results to be an unprecedented estimate of where humans place their feet for walking and jumping, and for stepping in response to an external disturbance.

This thesis introduces a new measure of balance for bipedal robotics called the foot placement estimator (FPE). To develop this measure, stability first is defined for a simple biped. A proof of the stability of a simple biped in a controls sense is shown to exist using classical methods for nonlinear systems. With the addition of a contact model, an analytical solution is provided to define the bounds of the region of stability. This provides the basis for the FPE which estimates where the biped must step in order to be stable. By using the FPE in combination with a state machine, complete gait cycles are created without any precalculated trajectories. This includes gait initiation and termination. The bipedal model is then advanced to include more realistic mechanical and environmental models and the FPE approach is verified in a dynamic simulation. From these results, a 5-link, point-foot robot is designed and constructed to provide the final validation that the FPE can be used to provide closed-loop gait control. In addition, this approach is shown to demonstrate significant robustness to external disturbances. Finally, the FPE is shown in experimental results to be an unprecedented estimate of where humans place their feet for walking and jumping, and for stepping in response to an external disturbance.

In this study, a novel optimal motion planning algorithm is developed for the locomotion of modular robots. The total energy consumption of the robot is considered to be the optimization criteria. In order to determine the energy consumption of the system, the kinematic and dynamic analyses of the system are performed. Due to the variable number of modules in the system, a recursive formulation is developed for both kinematic and dynamic analyses. Coulomb&#039 / s static and dynamic friction models are used to model the frictional forces at the contact points. In modular robot locomotion, the number of contact points and the positions of the contact points vary with time. As a result, the structure of the dynamic equilibrium equations changes. Depending upon the number and type of contacts (i.e., contact with static or dynamic friction), the dynamic equilibrium equations may lead to an overdetermined, regular or underdetermined system of equations. The last case implies that the system is statically indeterminate. A novel solution method, which takes into account the deflections of the flexible links in the modular robot, is introduced to resolve this statical indeterminacy problem. Another important contribution is the identification of the singularities associated with the dynamic equilibrium equations. It is shown that these equations become singular when all tangential contact point velocities are in the same direction. The developed optimal motion planning algorithm ensures that such singularities are avoided. The procedure is illustrated via a modular, self reconfigurable robot called MTRAN. However, the method may be easily extended to other modular robots by changing the structural parameters. In order to display the resulting motion, a visual simulation program is developed for MTRAN using the commercial software Mathematica.

Pronking is a legged locomotory gait in which all legs are used in synchrony, usually resulting in slow speeds but long flight phases and large jumping heights that may potentially be useful for mobile robots locomoting in cluttered natural environments. Instantiations of this gait for robotic systems suffer from severe pitch instability either due to underactuated leg designs, or the open-loop nature of proposed controllers. Nevertheless, both the kinematic simplicity of this gait and its dynamic nature suggest that the Spring-Loaded Inverted Pendulum Model (SLIP), a very successful predictive model for both natural and robotic runners, would be a good basis for more robust and maneuverable robotic pronking. In the scope of thesis, we describe a novel controller to achieve stable and controllable pronking for a planar, underactuated hexapod model, based on the idea of &ldquo / template-based control&rdquo / , a controller structure based on the embedding of a simple dynamical template within a more complex anchor system. In this context, high-level control of the gait is regulated through speed and height commands to the SLIP template, while the embedding controller based on approximate inverse-dynamics and carefully designed passive robot morphology ensures the stability of the remaining degrees of freedom. We show through extensive simulation experiments that unlike existing open-loop alternatives, the resulting control structure provides stability, explicit maneuverability and significant robustness against sensor noise.

No description available.

No description available.

Visual cues have previously been classified as visual exproprioceptive, when defining the relative position of the body within the environment and are continuously updated while moving (online), and visual exteroceptive when describing static features of the environment which are typically elaborated offline (feedforward). However peripheral visual cues involved in the control of movement have not previously been clearly defined using this classification. Hence the role played by peripheral visual cues in the planning and/or online control of movement remains unclear. The aim of this thesis was to provide a systematic understanding of the importance of peripheral visual cues in several types of movement, namely overground locomotion, adaptive gait, postural stability and reaching and grasping. 3D motion capture techniques were used to collect limb and whole body kinematics during such movements. Visual peripheral cues were manipulated by visual field occlusion conditions or by the employment of point-lights in a dark room. Results showed that the visual cues provided by different parts of the peripheral visual field are mainly used for online fine tuning of limb trajectory towards a target (either a floor-based obstacle or an object to grasp). The absence of peripheral visual cues while moving disrupted the spatio-temporal dynamic relationship between subject and target and resulted in increased margins of safety between body and target and increased time and variability of several dependent measures. These findings argue in favour of the classification of peripheral visual cues as visual exproprioceptive.

Les mécanismes neuronaux contrôlant la respiration sont présentement explorés à l’aide de plusieurs modèles animaux incluant le rat et la grenouille. Nous avons utilisé la lamproie comme modèle animal nous permettant de caractériser les réseaux de neurones du tronc cérébral qui génèrent et modulent le rythme respiratoire. Nous avons d’abord caractérisé une nouvelle population de neurones, dans le groupe respiratoire paratrigéminal (pTRG), une région du tronc cérébral essentielle à la genèse du rythme respiratoire chez la lamproie. Les neurones de cette région sont actifs en phase avec le rythme respiratoire. Nous avons montré que ces neurones possèdent une arborisation axonale complexe, incluant des projections bilatérales vers les groupes de motoneurones du tronc cérébral qui activent les branchies ainsi que des connexions reliant les pTRG de chaque côté du tronc cérébral. Ces résultats montrent que le pTRG contient un groupe de cellules qui active les motoneurones respiratoires des deux côtés et qui pourrait être impliqué dans la synchronisation bilatérale du rythme respiratoire. Nous avons ensuite étudié les mécanismes neuronaux par lesquels le rythme respiratoire est augmenté en lien avec l’effort physique. Nous avons montré que la région locomotrice du mésencéphale (MLR), en plus de son rôle dans la locomotion, active les centres respiratoires pendant la nage, et même en anticipation. Les neurones de la MLR projetant vers les centres locomoteurs et respiratoires sont ségrégés anatomiquement, les neurones localisés plus dorsalement étant ceux qui possèdent des projections vers les centres respiratoires. Nous avons aboli la contribution de la partie dorsale de la MLR aux changements respiratoires en injectant des bloqueurs des récepteurs glutamatergiques localement, sur des préparations semi-intactes. Nous avons montré que lors d’épisodes de nage, une majeure partie de l’effet respiratoire est abolie par ces injections, suggérant un rôle prépondérant des neurones de cette région dans l’augmentation respiratoire pendant la locomotion. Nos résultats confirment que le rythme respiratoire est généré par une région rostrolatérale du pons de la lamproie et montrent que des connexions des centres locomoteurs arrivent directement à cette région et pourraient être impliquées dans l’augmentation respiratoire reliée à l’effort physique. / The neural control of breathing is currently investigated on multiple animal models such as frogs and rats. We have used the lamprey as an experimental model to characterize the brainstem neural networks involved in the genesis and modulation of the respiratory rhythm. We have first characterized a new population of respiratory neurons in the paratrigeminal respiratory group (pTRG). The pTRG is a region that was shown to be essential to respiratory rhythmogenesis in lampreys. We have shown that the pTRG contains a group of neurons with complex axonal arborisations, including bilateral projections to the motoneuron pools of the brainstem that activate gills, as well as bilateral projections connecting the pTRGs on the two sides of the brainstem. These results suggest that pTRG neurons could participate in the descending control of respiratory motoneurons as well as the bilateral synchrony of the respiratory rhythm. We have then studied the neural mechanisms by which respiration is increased during locomotion. We have shown that the mesencephalic locomotor region (MLR), in addition to its role in controlling locomotion, also increases breathing during locomotion. Neurons in the MLR are anatomically segregated, those projecting to the respiratory centers being located more dorsally. We have abolished the contribution of the dorsal part of the MLR to respiratory changes by injecting glutamate receptor blockers locally in semi-intact preparations. We have shown that during swimming episodes, a major part of the respiratory effect is dependent on the dorsal part of the MLR. Our results confirm that the respiratory rhythm is generated by a rostrolateral region in the pons of lampreys and show that connections from locomotor centers can directly activate this region. These connections could be implicated in the increase of breathing activity related to locomotion.