MAST in Professor Sastry's Group at Berkeley
Main.Sastry History
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Hoam Chung
Post-doctoral Researcher\\
Sam Burden
Ph.D. student\\
- model predictive control (MPC) theory and applications
- time-saving algorithms for nonlinear MPCs
- approximation of differential games using receding horizon optimization
- unmanned aerial vehicles (UAVs), rotorcraft dynamics, real-time systems, and robotics
- In general: nonlinear, hybrid, and stochastic dynamical systems;
- more specifically: dynamic, under-actuated, and autonomous robots;
- in particular: control algorithms for such systems that exploit their complex internal dynamics.
http://eecs.berkeley.edu/~sburden/img/sam_burden_soldering.jpg
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Sam Burden
1st year Ph.D. student\\
Andrew Godbehere
Ph.D. student\\
- In general: nonlinear, hybrid, and stochastic dynamical systems;
- more specifically: dynamic, under-actuated, and autonomous robots;
- in particular: control algorithms for such systems that exploit their complex internal dynamics.
- mobile wireless sensor networks
- navigation and sensing with limited localization
- cooperative swarm behavior
Our MAST-Related Projects
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http://www.eecs.berkeley.edu/~sburden/img/mast_demo_08fall.png
Andrew Godbehere
1st year Ph.D. student
Interests:
- mobile wireless sensor networks
- navigation and sensing with limited localization
- cooperative swarm behavior
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Fall 2008 Demonstration Video
Demonstration of sensor deployment and integration capabilities using currently-available devices.
Our MAST-Related Projects
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Fall 2008 Demonstration Video
Demonstration of sensor deployment and integration capabilities using currently-available devices.
MissionLab VM
Instructions for downloading a virtual machine which has the MAST-specific MissionLab and Gazebo software pre-installed.
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MissionLab VM
Instructions for downloading a virtual machine which has the MAST-specific MissionLab and Gazebo software pre-installed.
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MissionLab VM
Instructions for downloading a virtual machine which has the MAST-specific MissionLab and Gazebo software pre-installed.
- application of model predictive control (MPC) theory for distributed systems
- safe set approximation using receding horizon optimization
- real-time system design and software/hardware implementation
- unmanned aerial vehicles (UAVs), rotorcraft dynamics, and robotics
- model predictive control (MPC) theory and applications
- time-saving algorithms for nonlinear MPCs
- approximation of differential games using receding horizon optimization
- unmanned aerial vehicles (UAVs), rotorcraft dynamics, real-time systems, and robotics
Note for Prospective Ph.D. Students
Our group is seeking new members who have interests in:
- small-scale robotics and embedded systems
- heterogeneous sensor networks
- control theory, hybrid dynamical systems theory, optimization, and the theory of stochastic processes.
We have no influence over departmental admissions decisions, so you will need to apply through the usual process. However, it can't hurt to contact current Ph.D. students Sam Burden or Andrew Godbehere to discuss your research interests.
- wireless sensor networks
- distributed controls
- task-directed cooperation among groups of robots
- mobile wireless sensor networks
- navigation and sensing with limited localization
- cooperative swarm behavior
- small-scale robotics, embedded systems, and heterogeneous sensor networks;
- small-scale robotics and embedded systems
- heterogeneous sensor networks
We have no influence over departmental admissions decisions, so you will need to apply through the usual process. However, it can't hurt to contact current Ph.D. student Sam Burden to discuss your research interests.
We have no influence over departmental admissions decisions, so you will need to apply through the usual process. However, it can't hurt to contact current Ph.D. students Sam Burden or Andrew Godbehere to discuss your research interests.
(:title MAST in Professor Sastry's Group at Berkeley:)
Welcome to Professor Sastry's web page for the Micro Autonomous Systems and Technology (MAST) project!
An interdisciplinary and multi-university research team is developing a robotic sensor network for deployment in disaster areas. By coupling novel small-scale robots with recent work in networked and embedded systems we aim to create a heterogeneous mobile sensor network capable of autonomously navigating through unstructured adversarial environments and relaying useful information to a human operator.
Note for Prospective Ph.D. Students
Our group is seeking new members who have interests in:
- small-scale robotics, embedded systems, and heterogeneous sensor networks;
- control theory, hybrid dynamical systems theory, optimization, and the theory of stochastic processes.
We have no influence over departmental admissions decisions, so you will need to apply through the usual process. However, it can't hurt to contact current Ph.D. student Sam Burden to discuss your research interests.
Lab Members
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Professor Shankar S. Sastry
Dean of the College of Engineering
Professor of Electrical Engineering and Computer Science
Professor of Bioengineering
Nippon Electronics Corporation (NEC) Distinguished Professorship in the College of Engineering and the Walter A. Haas School of Business
Interests: embedded and autonomous software, computer vision, and computation in novel substrates such as DNA, nonlinear and adaptive control, robotic telesurgery, control of hybrid systems, embedded systems, sensor networks and biological motor control.
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http://www.eecs.berkeley.edu/~hachung/front.jpg
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Hoam Chung
Post-doctoral Researcher
Interests:
- application of model predictive control (MPC) theory for distributed systems
- safe set approximation using receding horizon optimization
- real-time system design and software/hardware implementation
- unmanned aerial vehicles (UAVs), rotorcraft dynamics, and robotics
(:tableend:)
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(:cellnr:)
http://eecs.berkeley.edu/~sburden/img/sam_burden_soldering.jpg
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Sam Burden
1st year Ph.D. student
Interests:
- In general: nonlinear, hybrid, and stochastic dynamical systems;
- more specifically: dynamic, under-actuated, and autonomous robots;
- in particular: control algorithms for such systems that exploit their complex internal dynamics.
(:tableend:)
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(:cellnr:)
http://eecs.berkeley.edu/~abg34/images/andrewportrait.JPG
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Andrew Godbehere
1st year Ph.D. student
Interests:
- wireless sensor networks
- distributed controls
- task-directed cooperation among groups of robots
(:tableend:)
Our MAST-Related Projects
(:table border=0 cellspacing=0px:)
(:cellnr:)
http://www.eecs.berkeley.edu/~sburden/img/mast_demo_08fall.png
(:cell:)
Fall 2008 Demonstration Video
Demonstration of sensor deployment and integration capabilities using currently-available devices.