Filters








24,548 Hits in 7.6 sec

Concurrent Learning Based Dual Control for Exploration and Exploitation in Autonomous Search [article]

Zhongguo Li, Wen-Hua Chen, Jun Yang
2021 arXiv   pre-print
More importantly, the rigorous proven properties such as the convergence of CLEE algorithm are established under mild assumptions on sensor noises, and the impact of noises on the search performance is  ...  Simulation results are provided to validate the effectiveness of the proposed CLEE algorithm.  ...  under sensor noises and turbulence disturbances.  ... 
arXiv:2108.08062v1 fatcat:truk42cbsrdmjokdapr72iwzq4

Semi-Autonomous Consensus: Network Measures and Adaptive Trees

Airlie Chapman, Mehran Mesbahi
2013 IEEE Transactions on Automatic Control  
Examining the effectiveness of control in networked systems is a thriving research area.  ...  If the semi-autonomous agents' interaction dynamics are consensus-based, we dub this subclass as semi-autonomous consensus, which is the focus of the paper.  ...  ACKNOWLEDGMENT The authors would like to thank the Associate Editor and anonymous reviewers for their constructive comments.  ... 
doi:10.1109/tac.2012.2205429 fatcat:ofnkrcdjqrg4hboqjp52nusyja

A neural path integration mechanism for adaptive vector navigation in autonomous agents

Dennis Goldschmidt, Sakyasingha Dasgupta, Florentin Worgotter, Poramate Manoonpong
2015 2015 International Joint Conference on Neural Networks (IJCNN)  
The emergent behavior of the controlled agent does not only show a robust solution for the problem of autonomous agent navigation, but it also reproduces various aspects of animal navigation.  ...  The mechanism allows for robust homing behavior in the presence of external sensory noise.  ...  ACKNOWLEDGMENT This research was supported by the Emmy Noether Program (DFG, MA4464/3-1), and the Federal Ministry of Education and Research (BMBF) by a grant to the Bernstein Center for Computational  ... 
doi:10.1109/ijcnn.2015.7280400 dblp:conf/ijcnn/GoldschmidtDWM15 fatcat:7xrpkxtr45g6bkdnxeen2pc74a

Sensing and Connection Systems for Assisted and Autonomous Driving and Unmanned Vehicles

Sergio Saponara
2018 Sensors  
Australia, related to the emerging trends in sensing and navigation systems (i.e., sensors plus related signal processing and understanding techniques in multi-agent and cooperating scenarios) for autonomous  ...  The special issue, "Sensors, Wireless Connectivity and Systems for Autonomous Vehicles and Smart Mobility" on MDPI Sensors presents 12 accepted papers, with authors from North America, Asia, Europe and  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/s18071999 pmid:29932130 pmcid:PMC6068971 fatcat:pft6ftjaznhjnjzlxept72cm3e

Semi-autonomous networks: Network resilience and adaptive trees

Airlie Chapman, Mehran Mesbahi
2010 49th IEEE Conference on Decision and Control (CDC)  
Within such a class, we consider a network's resilience to the influence of external agents delivering a test signal, namely a Gaussian noise with a given mean.  ...  We refer to this class of networks as semi-autonomous.  ...  An appeal of consensus algorithms is their ability to operate autonomously over simple trusting agents.  ... 
doi:10.1109/cdc.2010.5717850 dblp:conf/cdc/ChapmanM10 fatcat:33rwx7azzvgm7fcfl2rr63s5oq

Emergence of collective behavior in a system of autonomous agents

I. Antoniou, F. Bosco, V. V. Ivanov, I. V. Kisel
1999 Discrete Dynamics in Nature and Society  
We study the properties of emergent collective behavior in a system of interacting autonomous agents.  ...  The system evolves in time according to two rules of communication, one from interactions between agents and another one from interactions of the agents with an additional agent which evolves in time in  ...  For p 1.0 all the agents follow the leader in a stable circular movement with period equals to the size of the leader's path.  ... 
doi:10.1155/s1026022699000035 fatcat:s6egydtrxjhexm6c7btcyfygh4

Mathematical modeling for flocking flight of autonomous multi-UAV system, including environmental factors

2020 KSII Transactions on Internet and Information Systems  
of neighboring agents corresponding to each other.  ...  We demonstrate the stability of the control algorithm and its applicability in autonomous multi-drone systems using numerical simulations.  ...  If the structural parameters are correctly adjusted under a given scenario, the entire mechanism can be used more effectively.  ... 
doi:10.3837/tiis.2020.02.007 fatcat:pkwvafv5nzahzi3dkppwsv47jy

Efficient and Effective Generation of Test Cases for Pedestrian Detection – Search-based Software Testing of Baidu Apollo in SVL [article]

Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha
2021 arXiv   pre-print
However, due to the large space of test input parameters in these systems, the efficient generation of effective test scenarios leading to the unveiling of failures is a challenge.  ...  This paper presents the results of our proposed test generation technique in the 2021 IEEE Autonomous Driving AI Test Challenge.  ...  In a test case, the generated noise vector is used to impose changes to the position of each waypoint, the color of each agent, the weather, the time of day, and the speed of each agent.  ... 
arXiv:2109.07960v2 fatcat:lfm35plzwvbn7fvbwehhsjjyza

Mobiltiy Aware Deep Q-Reinforcement Learning Model for Building Efficient Agriculture Autonomous Robots

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Thus, cannot be used under dynamic mobility and complex nature of agriculture environment. This is because MDP has many variables.  ...  In recent times, Society of Mind Cognitive Architecture (SMCA) has proposed using multi-agent and (MA) and Reinforcement learning (RL) technique.  ...  Then, there could be number of environmental factor such as Doppler effects, path loss and any physical interference because of which the signal (or communication medium) among agent and agent get affected  ... 
doi:10.35940/ijitee.d1170.049620 fatcat:ysortw6dzncklej6fbhzoqco4e

Visual Memory for Robust Path Following [article]

Ashish Kumar, Saurabh Gupta, David Fouhey, Sergey Levine, Jitendra Malik
2018 arXiv   pre-print
The two networks are optimized end-to-end at training time. We evaluate the method in two realistic simulators, performing path following and homing under actuation noise and environmental changes.  ...  Given a demonstration of a path, a first network generates a path abstraction.  ...  Our work studies path retracing both with actuation noise (i.e. the outcome of actions is stochastic) and a changing world (the world changes between the demonstration and autonomous operation of the agent  ... 
arXiv:1812.00940v1 fatcat:l7juyjkxnrfdzgplfav2juidsq

Measurable Augmented Reality for Prototyping Cyberphysical Systems: A Robotics Platform to Aid the Hardware Prototyping and Performance Testing of Algorithms

2016 IEEE Control Systems  
The authors gratefully acknowledge the anonymous reviewers for their insightful comments and feedback.  ...  In the planning under uncertainty problem for an autonomous agent, the agent operates in a partially observable domain and takes a series of actions (with stochastic outcome) in order to achieve a set  ...  effectiveness of CPS prior to deployment.  ... 
doi:10.1109/mcs.2016.2602090 fatcat:n5oyr4armvfkdaidxzzdaiqoma

Distributed Cooperative Jamming with Neighborhood Selection Strategy for Unmanned Aerial Vehicle Swarms

Yongkun Zhou, Dan Song, Bowen Ding, Bin Rao, Man Su, Wei Wang
2022 Electronics  
It verifies the effectiveness and prospects of the proposed model in the application of electronic countermeasures (ECM).  ...  An application scenario in which the emergence of multi–jammers suppresses the radar radiation source is designed to demonstrate the effect of the EA–CA model.  ...  It verifies the effectiveness of the interference signal by comparing the results of pulse pressure output under different signal-to-noise ratios.  ... 
doi:10.3390/electronics11020184 fatcat:23w2ailahrbqdl2ye5nrn2ardi

Agent-based system simulation of wireless battlefield networks

Younes Regragui, Najem Moussa
2016 Computers & electrical engineering  
A discussion of results follows, using distributions of path lifetimes, path lengths, packet delivery and group sizes in the communication soldiers' network.  ...  Results show that the dismounted soldiers' collective movement improves the capacity of communication channels, whereas noise uncertainty may dramatically destroy the network.  ...  The authors in [20] present a decentralized approach for maintaining the connectivity of a MANET using autonomous and intelligent agents.  ... 
doi:10.1016/j.compeleceng.2016.07.007 fatcat:zzkvjja6ybfajdf7blbosula34

Localisation and Mapping Using a Laser Range Finder: A Goal-Seeking Approach

Sotirios Ch. Diamantas, Richard M. Crowder
2009 2009 Fifth International Conference on Autonomic and Autonomous Systems  
An inherent property of this is obstacle avoidance. The simulated experiments presented in the paper validate the effectiveness of our approach.  ...  For the localisation and mapping process to take place we assume that the mobile robot will follow a path until a landmark is observed by the laser scanner.  ...  The process of finding a 'distinctive landmark' is critical for the path to be extracted as is needed to be as close to the autonomous agent as possible.  ... 
doi:10.1109/icas.2009.59 dblp:conf/icas/DiamantasC09 fatcat:oes2nkxkmve2lnbbqqudqdmiem

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems [article]

Vicenç Gómez, Sep Thijssen, Andrew Symington, Stephen Hailes, Hilbert J. Kappen
2020 arXiv   pre-print
is capable of controlling a large number of platforms in real-time, and (c) yields collective emergent behaviour in the form of flight formations.  ...  The planning task is expressed as a centralized path-integral control problem, for which optimal control computation corresponds to a probabilistic inference problem that can be solved by efficient sampling  ...  More precisely, consider the following stochastic differential equation of the state vector x ∈ R n under controls u ∈ R m dx = f (x)dt + G(x)(udt + dξ), (1) where ξ is m−dimensional Wiener noise with  ... 
arXiv:1502.04548v6 fatcat:l4sneapdy5enfegjkeakxs4yae
« Previous Showing results 1 — 15 out of 24,548 results