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1. Active Signal Emitter Placement In Complex Environments

2. Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams

3. Learned Parameter Selection for Robotic Information Gathering

4. A Study on Multirobot Quantile Estimation in Natural Environments

5. Fast and Scalable Signal Inference for Active Robotic Source Seeking

6. Present and Future of SLAM in Extreme Underground Environments

7. LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

8. Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

9. Informative Path Planning to Estimate Quantiles for Environmental Analysis

10. Adaptive Sampling using POMDPs with Domain-Specific Considerations

11. Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation

12. Incorporating Noise into Adaptive Sampling

16. Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge

17. Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge

18. LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

22. Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

23. LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

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