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Precision UAV Landing in Unstructured Environments
2020Autonomous landing of a drone is a necessary part of autonomous flight. One way to have high certainty of safety in landing is to return to the same location the drone took-off from. Implementations of return-to-home functionality fall short when relying solely on GPS or odometry as inaccuracies in the measurements and drift in the state estimate ...
Kevin Pluckter, Sebastian Scherer
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A Natural Feature Representation for Unstructured Environments
IEEE Transactions on Robotics, 2008This paper addresses the long-standing problem of feature representation in the natural world for autonomous navigation systems. The proposed representation combines Isomap, which is a nonlinear manifold learning algorithm, with expectation maximization, which is a statistical learning scheme.
Fabio Tozeto Ramos +3 more
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Robust Object Recognition in Unstructured Environments
2013One of the main goals of Robotics research is to help human beings in their daily tasks. However, physical interaction in everyday human scenarios requires robot systems endowed with rich sensory-motor skills and multisensory feedback that enables them to exhibit levels of adaptability high enough to achieve their goals. In this context, vision plays a
Ester Martínez-Martín +1 more
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Interactive segmentation for manipulation in unstructured environments
2009 IEEE International Conference on Robotics and Automation, 2009To perform successful manipulation, robots depend on information about objects in their environment. In unstructured environments, such information cannot be given to the robot a priori. It is thus critical for the robot to be able to continuously acquire task-specific information about objects.
Jacqueline Kenney +2 more
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SMART Navigation in Structured and Unstructured Environments.
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006Recently, intelligent transportation systems have been introduced for tasks like automated parking and highway driving. This is one of many contact points between human and robot intelligence, in that a human driver is sharing the driving task with intelligent computer systems.
Sascha Kolski +3 more
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Space robotics: automata in unstructured environments
Proceedings, 1989 International Conference on Robotics and Automation, 2003The problems associated with the development of robots for space applications are reviewed. Within the Space Station project context, robots will operate in a relatively unstructured environment and must have the ability to deal with unexpected events. For this to be possible, a great deal of experimentation is required to determine the best algorithms
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Learning from examples in unstructured, outdoor environments
Journal of Field Robotics, 2006AbstractIn this paper, we present a multi‐pronged approach to the “Learning from Example” problem. In particular, we present a framework for integrating learning into a standard, hybrid navigation strategy, composed of both plan‐based and reactive controllers.
Sun, J. +6 more
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Robust Autonomous Flight in Unstructured Environments
2014Keywords: flying robots ; autonomous navigation ; collision robustness ; collision resilience ; gimbal system ; ego-motion estimation ; optic-flow ; sensor fusion ; inertial sensors ; light-weight sensing These Ecole polytechnique federale de Lausanne EPFL, n° 6072 (2014)Programme doctoral Systemes de production et RobotiqueFaculte des sciences et ...
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Predictive Display for Telerobot Under Unstructured Environment
2017In this paper, the issue that traditional virtual reality (VR) system can’t be used in unstructured environment is addressed, and a novel predictive display method based on 3D scene reconstruction online is proposed. In this method, the virtual environment is modeled and reconstructed online by the structured light, so the consistency with the real ...
Qing Wei, NaiLong Liu, Long Cui
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Towards geometric decision making in unstructured environments
Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91, 2002Presents an approach to sensor-based decision making in unstructured environments that relies on describing geometric structures by parameterized volumes. This approach leads to large systems of nonlinear stochastic inequalities. The author describes how these inequalities can be solved using interval bisection, discusses the structural and statistical
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