- Managing Life Support Systems Using Procedures David Kortenkamp, R. Peter Bonasso and Debra Schreckenghost
- 24 US Government Work Not Protected by US Copyright IEEE INTELLIGENT SYSTEMS H C C a t N A S A
- Procedures as a Gateway to Spacecraft Autonomy David Kortenkamp and R. Peter Bonasso and Debra Schreckenghost
- CARMEL vs. Flakey: A Comparison of Two Robots
- The 1996 AAAI Mobile Robot Competition and Exhibition David Kortenkamp, Illah Nourbakhsh and David Hinkle
- Adjustable Control Autonomy for Manned Space Flight David Kortenkamp, Debra KeirnSchreckenghost, and R. Peter Bonasso
- Planner-Based Control of Advanced Life Support Systems Nicola Muscettola
- Using dynamic simulations and automated decision tools to design lunar habitats
- routes with nodes at a higher level. We have not yet implemented hierarchies in our direction network.
- 2003-01-2546 Simulating Advanced Life Support Systems for Integrated
- Supporting group interaction among humans and autonomous D. Schreckenghost, C. Martin, P. Bonasso, D. Kortenkamp, T. Milam, and C. Thronesbery
- Artificial Intelligence and Mobile Robots: Successes and Challenges
- Three NASA Application Domains for Integrated Planning, Scheduling and Execution
- Using a Robot Control Architecture to Automate Space Shuttle Operations
- Real-time autonomous control of space habitats David Kortenkamp, Debra Schreckenghost and R. Peter Bonasso
- MICE and the Science of Vacuuming David J. Musliner \Lambda and David Kortenkamp y
- 81Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center Deep Space One Remote AgentDeep Space One Remote Agent
- A Mobile Robot That Recognizes People Carol Wong, David Kortenkampy, and Mark Speichz
- 22] Saburo Tsuji and Shigang Li. Memorizing and representing route scenes. In Jean-Arcady Meyer, Herbert L. Roitblat, and Stewart W. Wilson, editors, From Animals to Animats 2: Proceedings of the Second International
- visual scenes is very expensive, both in computation and storage. Finally, we are restricted to highly struc-
- Adjustable Autonomy for Human-Centered Autonomous Systems on Mars
- resulting system (RPLAN) is tested in a natural, indoor environment. RPLAN con sists of three components. The first systematically integrates sonar and vision sensing
- A Data Abstraction Architecture for Mission Operations Scott Bell*, David Kortenkamp*, Jack Zaientz**
- Real-time monitoring of ECLSS flight rules Scott Bell and David Kortenkamp
- Data Abstraction Architecture for Spacecraft Scott Bell and David Kortenkamp
- A Procedure Representation Language for Human Spaceflight Operations David Kortenkamp, R. Peter Bonasso, Debra Schreckenghost
- A Testbed for Evaluating Lunar Habitat Autonomy Architectures
- Prediction of Reliability and Cost for Environmental Control and Life Support Systems
- Modeling Stochastic Performance and Random Failure Haibei Jiang, Kaustubh Bhalerao, Luis F. Rodrguez
- Testing Heuristic Tools for Life Support System Analysis Luis F. Rodrguez, Haibei Jiang
- Issues in Integrated Health Management of Life Support Systems David Kortenkamp,
- Requirements for an Autonomous Control Architecture for Ad-vanced Life Support Systems
- A Suite of Tools for Debugging Distributed Autonomous David Kortenkamp1
- Intelligent Control of A Water Recovery System: Three years in the Pete Bonasso, David Kortenkamp and Carroll Thronesbery
- Activities of the NASA Exploration Team Human-Robotics Working Group Chris Culbert, Jen Rochlis, Fred Rehnmark, David Kortenkamp, Kevin Watson,
- BioSim: An Integrated Simulation of an Advanced Life Support System for Intelligent Control Research
- Aiding Collaboration Among Humans and Complex Software Agents C. Martin, D. Schreckenghost, P. Bonasso, D. Kortenkamp, T. Milam, and C. Thronesbery
- A Suite of Tools for Debugging Distributed Autonomous Systems David Kortenkamp1
- Activity Planning for Long Duration Space Missions Debra Schreckenghost, R. Peter Bonasso, Mary Beth Hudson, and David Kortenkamp
- An Intelligent Software Architecture for Semi-autonomous Robot Control
- A Behavior-based Approach to Active Stereo Vision for Mobile Robots
- Today's robotics applications require complex, real-time, high-bandwidth sensor systems. Although many such sys-
- A Planning, Scheduling and Control Architecture for Advanced Life Support Systems
- The 1995 IJCAI Robot Competition and Exhibition David Hinkle, David Kortenkamp and David Miller
- PROTOTYPES, LOCATION, AND ASSOCIATIVE NETWORKS Prototypes, Location, and Associative Networks (PLAN)
- Using Stereo Vision to Pursue Moving Agents with a Mobile Robot Eric Huber and David Kortenkamp
- Recognizing and Interpreting Gestures within the Context of an Intelligent Robot Control Architecture
- the Environmental Research Institute of Michigan (ERIM), Ann Arbor, MI. Co-authors Huber and Lee
- An Intelligent Agent Architecture In Which to Pursue Robot Learning R. Peter Bonasso and David Kortenkamp
- Intelligent Systems Branch Johnson Space Center
- Worlds to Explore: An Introduction to Current Capabilities and Key Challenges in Space Robotics
- David Kortenkamp NASA Johnson Space Center/Metrica Inc.
- Dr. David Kortenkamp NASA Johnson Space Center
- Designing HumanDesigning Human--CenteredCentered Autonomous AgentsAutonomous Agents
- 9Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center Human-Centered
- 39Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center Requirements OutlineRequirements Outline
- 60Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center NASA HCA Applications OutlineNASA HCA Applications Outline
- Integrating a behavior-based approach to active stereo vision with an intelligent control
- David Kortenkamp NASA Johnson Space Center
- Helping Humans: Agents for Distributed Space Operations C. Martin, D. Schreckenghost, P. Bonasso, D. Kortenkamp, T. Milam, C. Thronesbery
- Adjustable Autonomy with NASA Procedures Debra Schreckenghost, R. Peter Bonasso, David Kortenkamp
- Developing and Executing Goal-Based, Adjustably Autonomous Procedures
- Designing visualization tools for a distributed control architecture
- Distributed, Autonomous Control of Space Habitats David Kortenkamp and R. Peter Bonasso
- 21Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center Design of AA systemsDesign of AA systems
- Experiences with an Architecture for Intelligent, Reactive Agents
- Designing Agents for Systems with Adjustable Autonomy
- Integrating Active Perception with an Autonomous Robot Architecture
- 93Dr. Gregory A. Dorais, NASA Ames Research Center Dr. David Kortenkamp, NASA Johnson Space Center ConclusionsConclusions
- Space Robotic Capabilities David Kortenkamp (NASA Johnson Space Center)
- 2005-01-2962 Multi-scale modeling of advanced life support systems
- Simulating Lunar Habitats and Activities to Derive System Requirements
- Experiences with an Architecture for Intelligent, Reactive Agents
- Recognizing and interpreting gestures on a mobile robot David Kortenkamp, Eric Huber, and R. Peter Bonasso
- Using AI and simulations to design and control space habitats David Kortenkamp and Scott Bell
- Editor: Richard Doyle Jet Propulsion Lab
- American Institute of Aeronautics and Astronautics Trusted Autonomy for Spaceflight Systems
- Intelligent Systems Branch Johnson Space Center
- 09ICES-0239 Data Abstraction Architecture for Monitoring and Control of
- Traded Control with Autonomous Robots as Mixed Initiative Interaction
- Experiments with an EVA Assistant Robot Robert R. Burridge1
- Embedding planning technology into satellite systems David Kortenkamp
- Embedding Procedure Assistance into Mission Control Tools Scott Bell and David Kortenkamp
