A5067297408- Smart Agriculture and AI
- Planetary Science and Exploration
- Greenhouse Technology and Climate Control
- Robotic Path Planning Algorithms
- Modular Robots and Swarm Intelligence
- Irrigation Practices and Water Management
- Robotic Locomotion and Control
- Soil Mechanics and Vehicle Dynamics
- Robotics and Automated Systems
- Nuclear and radioactivity studies
- Space Exploration and Technology
- Scientific Computing and Data Management
- Geophysical Methods and Applications
- Nuclear Materials and Properties
- Energy Efficient Wireless Sensor Networks
- Mineral Processing and Grinding
- Agricultural Engineering and Mechanization
- Astro and Planetary Science
- Energy Harvesting in Wireless Networks
- Mechanical and Thermal Properties Analysis
- Innovations in Aquaponics and Hydroponics Systems
- Plant Virus Research Studies
- IoT-based Smart Home Systems
- Radiation Detection and Scintillator Technologies
- Transportation Safety and Impact Analysis
Carnegie Mellon University
2012-2017
Robotics Research (United States)
2009
Subterranean robot exploration is difficult, with many mobility, communications, and navigation challenges that require an approach a diverse set of systems, reliable autonomy. While prior work has demonstrated partial successes in addressing the problem, here we convey comprehensive to address problem subterranean wide range tunnel, urban, cave environments. Our driven by themes resiliency modularity, show examples how these influence design different modules. In particular, detail our...
Wireless sensor networks (WSNs) are increasingly becoming a critical tool for growers and researchers. We describe how the technology has advanced, starting with commercially available WSN node pushing to make data more meaningful, actionable add advanced irrigation control functionality. User features such as spatial views, custom charts, real-time access, remote control, alerts, plant models help create an system that is user centric. Growers researchers were involved in design process by...
Scarab is a prospecting rover for lunar missions to survey resources, particularly water ice, in polar craters. It designed the deployment of deep coring drill and transport soil analysis instruments. Its chassis can transform stabilize contact with ground also adjust ascend descent steep slopes unconsolidated soil. Additional features include compact body better thermal regulation, laser scanners dark navigation, power system persistent, low-capacity source. was prototyped at Robotics...
Sixty years after debuting in industrial environments, robots are making their way into our everyday life. Farmers have benefited for some time from self-guided machinery including combines and harvesters. More recently, multi-purpose autonomous vehicles started to be deployed orchards, groves, nurseries, other agricultural environments automate or augment operations such as pruning, thinning, harvesting, mowing, spraying. Successful commercialization of will depend heavily on them being...
Steep slopes of unconsolidated material at planetary destinations recent interest, such as craters and skylights, defy descent by rovers due to uncontrolled slip. This work proposes a novel method based on braking plowing arrest slip during maneuvers terrains. The covers two fundamental maneuvers: direct point‐turning. For descent, an automatic control system estimates through visual odometry actuates plow accordingly. point‐turning, the is engaged point rotation. Experimental results showed...
Autonomous robot navigation in austere environments is critical to missions like “search and rescue”, yet it remains difficult achieve. The recent DARPA Subterranean Challenge (SubT) highlights prominent challenges including GPS-denied through rough terrains, rapid exploration large-scale three-dimensional (3D) space, interrobot coordination over unreliable communication. Solving these requires both mechanical resilience algorithmic intelligence. Here, we present our approach that leverages...
Wireless Sensor Networks (WSNs) are emerging as an invaluable tool in agriculture. Current WSNs good at reporting sensor data and many provide simple tools for viewing the data. The current approach assumes that growers familiar with how should look they trained to use This work extends usage of actionable results based on We currently implementing plant physiological models specialty crops into CMU SensorWeb system. These predict water usage, allowing precisely control irrigation schedules....
Wireless Sensor Networks (WSNs) are an invaluable tool in agriculture. Currently these systems good at reporting and logging data. Some recent work has focused on making the data useful actionable. The next step WSNs is ability to automatically use that for irrigation control. This can help minimize labor reduce water usage.
Hydroponics is currently a very successful technique for growing crops like lettuce and results in cleaner, healthier cheaper yield. Requirement of periodic labor systematic arrangement plants make it good candidate automation. Large-scale systems that automate the already exist, but these require large capital investments footprints limit use to only large-scale growers. Our goal develop inexpensive robotic small-medium scale grower can afford implement are compatible with existing...
Miles of contaminated pipe must be measured, foot by foot, as part the decommissioning effort at deactivated gaseous diffusion enrichment facilities. The current method requires cutting away asbestos-lined thermal enclosures and performing repeated, elevated operations to manually measure from outside. RadPiper robot, Pipe Crawling Activity Measurement System (PCAMS) developed Carnegie Mellon University commissioned for use DOE Portsmouth Gaseous Diffusion Enrichment Facility, automatically...