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Convergent effects of peptides on the initiation of feeding motor programs in the mollusk Aplysia

Journal of Neurophysiology 2025年第5期133卷 1368-1379页

作者： Evans, Colin G. Barry, Michael A. Reaver, Carrie N. Patel, Paras R. Chestek, Cynthia A. Perkins, Matthew H. Jing, Jian Cropper, Elizabeth C. Department of Neuroscience Friedman Brain Institute Icahn School of Medicine at Mount Sinai New York NY United States Department of Biomedical Engineering Biointerfaces Institute University of Michigan Ann Arbor MI United States Department of Electrical Engineering and Computer Science Neurosciences Program Robotics Program University of Michigan Ann Arbor MI United States State Key Laboratory of Pharmaceutical Biotechnology Institute for Brain Sciences Chemistry and Biomedicine Innovation Center Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology Advanced Institute for Life Sciences School of Life Sciences Nanjing University Nanjing China

Neuropeptides configure the feeding network of Aplysia. For example, egestive activity is promoted by small cardioactive peptide (SCP), and ingestive activity is promoted by a combination of feeding circuit activating peptide (FCAP) and cerebral peptide 2 (CP-2). In addition, SCP and FCAP/CP-2 have a common network effect that does not contribute to motor program specification. They increase the excitability of an interneuron, B63. In this report, we further characterized the effects of peptides on B63. We performed voltage-clamp experiments and used a step protocol to look at steady-state currents. We found that SCP and FCAP/CP-2 both induced an inward current that was virtually absent in low-sodium saline. Previous work has established that B63 is unusual in the feeding circuit in that subthreshold depolarizations are autonomously generated that can trigger motor programs. Here, we show that this autonomous activity is more frequent in the presence of peptides. Previous studies have also shown that activity of the feeding central pattern generator (CPG) can be initiated by neurons that excite B63, e.g., by cerebral buccal interneuron 2 (CBI-2), a projection neuron that triggers biting-like motor programs. Here, we show that the latency of CBI-2-induced activity is decreased by stimulation of the esophageal nerve (EN) (which releases endogenous SCP). These results, taken together with previous results, indicate that peptides that act divergently to configure network activity additionally act convergently to promote motor program induction. We present data that suggest that this arrangement facilitates brief switches between ingestive and egestive motor activity. © 2025 The Authors.

关键词： central pattern generator invertebrate modulation motor program neuropeptide

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Kinematic analysis and position/force control of the anthrobot dextrous hand

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 1997年第1期27卷 95-104页

作者： Kyriakopoulos, KJ VanRiper, J Zink, A Stephanou, HE New York State Center for Advanced Technology in Automation and Robotics and Electrical Department of Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

The increasing demand for robotic applications in unstructured environments is motivating the need for dextrous end-effecters which can cope with the wide variety of tasks and objects encountered in these environments, A new anthropomorphic robot hand (Anthrobot) which was designed for these environments is described. In this paper, the problem of developing the kinematics and unit consistent hybrid position/force control of the Anthrobot fingers is considered as the first step toward its utilization for either teleoperation or autonomous operation, A dynamic model of the fingers is identified and used to develop the control laws, The experimental results of applying the control to the Anthrobot are discussed.

关键词： Kinematics Force control Fingers robotics and automation Robots Humans Thumb Anthropomorphism Vehicle dynamics Power system modeling

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Generalization-Enhanced Few-Shot Object Detection in Remote Sensing

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IEEE Transactions on Circuits and Systems for Video technology 2025年

作者： Lin, Hui Li, Nan Yao, Pengjuan Dong, Kexin Guo, Yuhan Hong, Danfeng Zhang, Ying Wen, Congcong China Academy of Electronics and Information Technology Beijing100846 China China Meteorological Administration National Satellite Meteorological Center Innovation Center for FengYun Meteorological Satellite Beijing100081 China Tsinghua University State Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Beijing100084 China Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing100049 China University of Science and Technology Beijing School of Automation and Electrical Engineering Beijing100083 China New York University Abu Dhabi Department of Electrical and Computer Engineering Abu Dhabi United Arab Emirates University of Science and Technology of China Anhui China

Object detection is a fundamental task in computer vision that involves accurately locating and classifying objects within images or video frames. In remote sensing, this task is particularly challenging due to the high resolution, multi-scale features, and diverse ground object characteristics inherent in satellite and UAV imagery. These challenges necessitate more advanced approaches for effective object detection in such environments. While deep learning methods have achieved remarkable success in remote sensing object detection, they typically rely on large amounts of labeled data. Acquiring sufficient labeled data, particularly for novel or rare objects, is both challenging and time-consuming in remote sensing scenarios, limiting the generalization capabilities of existing models. To address these challenges, few-shot learning (FSL) has emerged as a promising approach, aiming to enable models to learn new classes from limited labeled examples. Building on this concept, few-shot object detection (FSOD) specifically targets object detection challenges in data-limited conditions. However, the generalization capability of FSOD models, particularly in remote sensing, is often constrained by the complex and diverse characteristics of the objects present in such environments. In this paper, we propose the Generalization-Enhanced Few-Shot Object Detection (GE-FSOD) model to improve the generalization capability in remote sensing FSOD tasks. Our model introduces three key innovations: the Cross-Level Fusion Pyramid Attention Network (CFPAN) for enhanced multi-scale feature representation, the Multi-Stage Refinement Region Proposal Network (MRRPN) for more accurate region proposals, and the Generalized Classification Loss (GCL) for improved classification performance in few-shot scenarios. GE-FSOD demonstrates superior robustness and accuracy in remote sensing FSOD tasks through these enhancements. Extensive experiments on the DIOR and NWPU VHR-10 datasets show that our

关键词： Labeled data

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FINDING A SEQUENCE OF SENSOR OPERATIONS FOR VOLUMETRIC INSPECTION

FINDING A SEQUENCE OF SENSOR OPERATIONS FOR VOLUMETRIC INSPE...

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1992 IEEE International Conference on Systems, Man, and Cybernetics

作者： TARBOX, GH GOTTSCHLICH, SN GERHARDT, LA New York State Center for Advanced Technology in Robotics and Automation Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy 12180-3590 NY United States

ISBN: (纸本)0780307208

A system for exhaustively inspecting a workpiece, not merely certain features, is presented. The system is based on comparing a volumetric representation of a reference object to a volumetric representation of an actual object iteratively created from sensor data. The use of volumetric representations gives this approach a number of distinct advantages over the more traditional boundary-based inspection methods: the method is capable of handling arbitrarily complex geometries and does not rely on the identification of features, it lends itself naturally to a multi-sensor environment, and it facilitates true 3D inspection as opposed to methods that require dimensional reductions of data by projection onto a 2D plane. This paper focuses on an important aspect of volumetric inspection - the automatic generation of a sequence of sensor operations that will acquire the complete geometry of the object being inspected. © 1992 IEEE.

关键词： Inspection

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FUZZY PROXIMITY-MEASURES FOR ROBOT GRASP PLANNING

FUZZY PROXIMITY-MEASURES FOR ROBOT GRASP PLANNING

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1992 IEEE INTERNATIONAL SYMP ON INTELLIGENT CONTROL

作者： SRIDHARAN, K STEPHANOU, HE New York State Center for Advanced Technology in Automation and Robotics Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy 12180-3590 NY United States

Faat procedures for computing fuzzy prozimity meaaurea between a multifingered robot hand and an object to be grasped are presented in this paper. The computation useful in graap planning and in analyzing the local be... 详细信息

ISBN: (纸本)0780305469

关键词： Robot programming

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Generalization-Enhanced Few-Shot Object Detection in Remote Sensing

arXiv

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arXiv 2025年

作者： Lin, Hui Li, Nan Yao, Pengjuan Dong, Kexin Guo, Yuhan Hong, Danfeng Zhang, Ying Wen, Congcong China Academy of Electronics and Information Technology Beijing100846 China National Satellite Meteorological Center Innovation Center for FengYun Meteorological Satellite China Meteorological Administration Beijing100081 China State Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Tsinghua University Beijing100084 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering New York University Abu Dhabi Abu Dhabi United Arab Emirates

关键词： Labeled data

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The window corner algorithm for planning translational paths among polyhedral subassemblies

The window corner algorithm for planning translational paths...

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1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992

作者： Krishnan, S.S. Sanderson, A.C. New York State Center for Advanced Technology in Automation and Robotics and Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180 United States

ISBN: (纸本)0780307372

In this paper, we present a complete and exact algorithm for planning a geometrically feasible path for a polyhedral subassembly (robot) translating amongst polyhedral obstacles. Our algorithm can be used to determine whether a pair of non-convex subassemblies can be separated by a sequence of fine-motions and, possibly, contact-motions, when the amount of free space tends to be severly limited. We present the three-dimensional Window Corner algorithm to plan feasible paths. The algorithm solves the FeosiblePath problem, in worst-case time O(m5) where m is the product of the number of vertices describing the robot and obstacles respectively. A Feasiblepath solution hierarchy, for assembly sequence planning, is described for incremental, straight-line and multi-step paths. The Polyhedral Cone Representation (PCR) is introduced to efficiently represent the geometrical constraints on translation and as a basis for fast collision avoidance checks. We introduce the concept of Window Corners in the PCR and this results in a finite search space. The Polyhedral Cone Obstacle Representation (PCUR), which is a constructive representation of all boundary contact configurations, transforms the problem into that of a point moving amongst a collection, O(m), of convex obstacles. In comparison, the worstcase space complexity of the C-space boundary is O(m3). Certain contact-constrained, feasible motions, which lie on surfaces without interior points can be inaccessible in a typ i d C-space representation. © 1992 Institute of electrical and Electronics Engineers Inc. All rights reserved.

关键词： Robot programming

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Issues in fine motion planning for assembly 3

Issues in fine motion planning for assembly

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3rd Annual Conference on Intelligent Robotic Systems for Space Exploration, IRSSE 1991

作者： Gottschlich, Sue New York State Center for Advanced Technology in Robotics and Automation Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0818625953

A common problem in robotic assembly is that of mating tightly fitting parts when the locations and the dimensions of the parts are somewhat uncertain. Because the clearances allowed between mating features of parts are likely to be smaller then the aggregate uncertainties, it is often necessary to use sensoryguided motions, as opposed to point-to-point motions, for carrying out portions of an assembly operation. In this paper we will discuss a fine motion planner that develops motion plans for assembly operations where force/torque guided motions are incorporated into the plan as needed. While much work in fine motion planning has focused on dealing with the uncertainties involved, this paper will expose equally important issues that arise in assembly motion planning due to the complicated geometry of assembly parts and the tight clearances allowed between mating features of assembly parts. © 1991 IEEE.

关键词： Motion planning

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An Information Theoretic Approach to Approximate Reasoning

An Information Theoretic Approach to Approximate Reasoning

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1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992

作者： Gottschlich, S.N. Stephanou, H.E. New York State Center for Advanced Technology in Automation and Robotics Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0780307372

In traditional geometric modeling, it is common to assume that models of objects created are complete and correct. Unfortunately in real life robots and other autonomous machines may have only uncertain knowledge of only a portion of an object's geometry and therefore we need to be able to create object models that are incomplete and uncertain. Towards this end we have developed mechanisms for representing geometric entities in terms of Dempster-Shafer belief functions. To do this we have extended the notion of belief functions to include continuous frames of discernment. A fractal model of the belief functions is developed and information theory concepts are applied for reasoning about a sensor data model vis-a-vis reference object models. An implementation of these concepts and experiments involving them are discussed. © 1992 IEEE.

关键词： Uncertainty analysis

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Volumetric Based Inspection

Volumetric Based Inspection

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1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992

作者： Tarbox, G.H. Gottschlich, S.N. Gerhardt, L.A. New York State Center for Advanced Technology in Robotics and Automation Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0780307372

A novel approach to inspection is presented based on comparing a volumetric representation of a reference object to a volumetric representation of an actual object iteratively created from sensor data. The use of volumetric representations gives this approach a number of distinct advantages over the more traditional surface-based inspection methods. One significant advantage of volumetric inspection is that there is no need to identify geometric "features", particularly important when inspecting objects such as castings and forgings whose features are often difficult to identify. Secondly, the volumetric representation lends itself naturally to a multi-sensor environment. By this we mean that a volumetric model of the sensed object can be synthesized utilizing information from multiple sensors of varying types, accuracy, location, etc. This allows a choice of the most appropriate sensor for acquiring information about the different regions of the object. Finally, the volumetric representation allows us to carry out true three-dimensional inspection as opposed to the typical approach where renderings of the reference model are compared to two-dimensional images of the actual object. © 1992 IEEE.

关键词： Inspection

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