2019.10.20 Robotics papers

10-15-2019	Solving Rubiks Cube with a Robot Hand by OpenAI et al
10-15-2019	Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light by Eunah Jung et al
10-17-2019	Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control by Lukas Hermann et al
10-17-2019	Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data by Sergio Casas et al
10-15-2019	Explainable Semantic Mapping for First Responders by Jean Oh et al
10-17-2019	Robust Planning and Control For Polygonal Environments via Linear Programming by Mahroo Bahreinian et al
10-15-2019	On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics by Angelo Bratta et al
10-15-2019	Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making by Rogerio Bonatti et al
10-16-2019	Conditional Driving from Natural Language Instructions by Junha Roh et al
10-16-2019	Learning from My Partners Actions: Roles in Decentralized Robot Teams by Dylan P. Losey et al
10-16-2019	Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators by Timothy Anglea et al
10-17-2019	A Survey of Deep Learning Techniques for Autonomous Driving by Sorin Grigorescu et al
10-17-2019	Online Learning in Planar Pushing with Combined Prediction Model by Huidong Gao et al
10-15-2019	Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation by Ran Tian et al
10-17-2019	Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction by Ajay Jain et al
10-17-2019	Map-Predictive Motion Planning in Unknown Environments by Amine Elhafsi et al
10-15-2019	A Compact Neural Architecture for Visual Place Recognition by Marvin Chancán et al
10-16-2019	FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment by Ke Wang et al
10-15-2019	Embodiment dictates learnability in neural controllers by Joshua Powers et al
10-18-2019	Learning Compositional Koopman Operators for Model-Based Control by Yunzhu Li et al
10-15-2019	Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints by Giovanni Miraglia et al
10-15-2019	Topological Navigation Graph by Povilas Daniusis et al
10-15-2019	Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields by Zhuoyuan Song et al
10-17-2019	Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets by Florian Wirthmüller et al
10-17-2019	Learning Continuous Occupancy Maps with the Ising Process Model by Nicholas O'Dell et al
10-17-2019	Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process by Jiacheng Zhu et al
10-16-2019	Creativity in Robot Manipulation with Deep Reinforcement Learning by Juan Carlos Vargas et al
10-16-2019	Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations by Ozsel Kilinc et al
10-16-2019	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments by Rémy Portelas et al
10-15-2019	Stereo-based Multi-motion Visual Odometry for Mobile Robots by Qing Zhao et al
10-17-2019	Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics by Oier Mees et al
10-18-2019	Fast Local Planning and Mapping in Unknown Off-Road Terrain by Timothy Overbye et al