- Target Tracking and Data Fusion in Sensor Networks
- Robotics and Sensor-Based Localization
- Structural Health Monitoring Techniques
- Indoor and Outdoor Localization Technologies
- Robotic Path Planning Algorithms
- Optical measurement and interference techniques
- Fault Detection and Control Systems
- Probabilistic and Robust Engineering Design
- Guidance and Control Systems
- Underwater Vehicles and Communication Systems
- Remote Sensing and LiDAR Applications
- Robot Manipulation and Learning
- Advanced Multi-Objective Optimization Algorithms
- Distributed Sensor Networks and Detection Algorithms
- Non-Destructive Testing Techniques
- 3D Surveying and Cultural Heritage
- Distributed Control Multi-Agent Systems
- Infrastructure Maintenance and Monitoring
- Ultrasonics and Acoustic Wave Propagation
- Robotic Locomotion and Control
- Mechanical Behavior of Composites
- Speech and Audio Processing
- Elasticity and Material Modeling
- Autonomous Vehicle Technology and Safety
- Mechanical Engineering and Vibrations Research
University of Virginia
2020-2024
Virginia Tech
2010-2020
Indian Institute of Technology Guwahati
2018
University of Technology Sydney
2015-2017
Computational Physics (United States)
2017
The University of Tokyo
1995-2016
Kindai University
2012-2016
Danville Community College
2011-2012
UNSW Sydney
2003-2010
University of Tartu
2009
Wounds penetrating articular cartilage to bone heal with described variably as either fibrous or hyaline. In the present study, such repair was induced in rabbit for biochemical comparison normal cartilage. The main collagen tissue after three weeks type I. By six eight weeks, II had become predominant and continued be enriched up one year; but I still persisted a significant constituent of even year, so never fully resembled From radiochemical analysis, determined major synthesized by four...
This paper presents a coordinated control technique that allows heterogeneous vehicles to autonomously search for and track multiple targets using recursive Bayesian filtering. A unified sensor model objective function are proposed enable search-and-tracking (SAT) within the filter framework. The strength of is vehicle can switch its task mode between tracking while maintaining information collected during operation. Numerical results first show effectiveness when found target becomes lost...
This paper describes a decentralized Bayesian approach to coordinating multiple autonomous sensor platforms searching for single non-evading target. In this architecture, each decision maker builds an equivalent representation of the target state PDF through DDF network enabling him or her coordinate their actions without exchanging any information about plans. The advantage is that high degree scalability and real time adaptability can be achieved. effectiveness demonstrated in different...
Up to now, a number of models have been proposed and discussed describe wide range inelastic behaviours materials. The fatal problem using such is however the existence model errors, remains inevitably as far material written explicitly. In this paper, authors define implicit constitutive propose an viscoplastic neural networks. their modelling, are generalized in state-space representation form constructed by network input–output data sets. A technique extract from experimental also...
This paper presents a Bayesian approach to the problem of searching for multiple lost targets in dynamic environment by team autonomous sensor platforms. The probability density function (PDF) each individual target location is accurately maintained an independent instance general filter. utility search vehicles trajectories given sum `cumulative' detection target. A dual-objective switching also introduced direct towards mode nearest PDF when becomes too low region distinguish between...
This paper presents the recent advances on Free Mesh Method by authors. In this method, elements are locally created at each node in an autonomous manner, so that only nodal information is necessary without global meshing. The method has been tested with various applications such as heat conduction, fluid and fracture analyses, reliable solutions were obtained good parallel efficiency. Modifications of have further proposed, accuracy solution improved.The overall review demonstrated...
<abstract> Yield estimation is a critical task in crop management. Traditional methods are costly, time-consuming, and difficult to expand relatively large field. Remote sensing can provide quick coverage over field at any scale. Satellite remote used for large-scale earth observation. with manned airplanes high altitudes (>500 m) has difficulty achieving the spatial resolution required field-scale precision farming. Ground-based systems typically point measurements restricted conditions....
This paper presents a method for identifying the parameter set of inelastic constitutive equations, which is based on an evolutionary algorithm proposed by authors. The advantage that appropriate parameters can be identified even when measured data are subject to considerable errors and model equations inaccurate. design experiments suited identification material Chaboche under uniaxial loading stationary temperature conditions was first considered. Then from experimental data. In comparison...
This paper addresses the problem of coordinating a team multiple heterogeneous sensing platforms searching for single lost target. In this approach, utility control sequence is function probability density (PDF) target state. Each decision maker builds an equivalent estimate PDF by communicating and fusing information from other sensor nodes. Coupled utilities incite agents to collaborate agree on next best set actions. Decentralized cooperative planning achieved via anonymous negotiation...
This paper describes the mechanical design of ESCHER, a series elastic humanoid developed to compete in DARPA Robotics Challenge (DRC). The methodology was informed by preliminary experimental results obtained using THOR humanoid, prototype platform for DRC Trials, relying heavily on an accurate model torque-controlled robot Gazebo simulation environment. redesigned lower body features unique double actuated knee; driving single degree freedom joint with two identical linear actuators...
This paper presents an adaptive actuation mechanism that can be employed for the development of anthropomorphic, dexterous robot hands. The tendon-driven achieves both flexion/extension and adduction/abduction, on finger's metacarpophalangeal joint, by using two actuators. Moment arm pulleys are to drive tendon laterally achieve a simultaneous execution abduction flexion motion. Particular emphasis has been given modeling analysis mechanism. More specifically, determines specific values...
This paper presents the design and map-based teleoperation of a robot with ultraviolet-C (UVC) lamps that disinfects COVID-19 virus in complex indoor environments. To disinfect wide range surfaces, has an arm six degrees-of-freedom addition to wheeled platform. The platform attaches tube on each side underneath orientation perpendicular moving direction, spot UVC lamp at its end-effector. A method for projecting surface dosage using light properties is proposed validated sensor measurements...
We present a technique that uniformly controls team of autonomous sensor platforms charged with the dual task searching for and then tracking moving target within recursive Bayesian estimation framework. The proposed defines detectable region, formulates observation likelihoods detection no-detection events. unified likelihood function allows to update maintain belief, regardless detectability. For search (SAT), further predicts belief in finite-time horizon, decides control actions by...
This paper proposes a combined observer/controller method that estimates the states and simultaneously improves ride comfort stability of full vehicle active suspension system using single inertial measurement unit (IMU) in presence noise centre gravity uncertainties. The derived model is based on channel-by-channel estimation technique filtered white excitation signals all wheels, as well actuators. transfer functions are estimated by analysing IMU frequency domain. result then used linear...
This paper presents a control strategy for the pursuer in pursuit-evasion game problem when evader behaves intelligently. The proposed technique does not try to react evader's behavior instantaneously. therefore yield instantaneous optimality but capture time-efficient and robust fashion even is intelligent. was applied two numerical examples results were compared those by conventional motion tracking algorithms. comparison show that could faster than algorithms both examples.
This paper deals with the problem of coordinating a team mobile sensor platforms searching for single non-evading target. It follows general Bayesian active network approach introduced in [2] where each decision maker plans locally based on an equivalent representation target state probability density function (PDF). focuses prediction stage decentralized filter. looks at how different types realistic external constraints may affect motion and they be taken into account process model. Two...
Abstract This paper presents a new technique of neural network constitutive modelling for non‐linear characterization anisotropic materials. The proposed technique, based on recently developed energy‐based framework, derives the variations external work applied to and strain energy induced in specimen. error between energies is subsequently correct properties by using modified backpropagation algorithm. Unlike conventional techniques modelling, develops models quantifying deformation...
This paper provides an overview of the bipedal walking controller implemented on ESCHER, a new torque-controlled humanoid designed by Virginia Tech to compete in DARPA Robotics Challenge (DRC). The robot's compliant control approach relies optimization-based inverse dynamics solver proposed previous publication. work presents two unique features improve stability soft and uncertain terrain, developed preparation for dirt track stairs task at DRC Finals. First, step adjustment algorithm is...
Abstract This paper describes a decentralized Bayesian approach to the problem of coordinating multiple autonomous sensor platforms searching for single non-evading target. In this architecture, each decision maker builds an equivalent representation probability density function (PDF) target state through general network, enabling them coordinate their actions without exchanging any information about plans. The advantage is that high degree scalability and real-time adaptability can be...