Ingmar Posner
- The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
2019/09/03 by Dan Barnes, Barnes, Dan, Matthew Gadd +7 · 13 citations
Engineering · Environmental Science · Physics and Astronomy · #Robotics and Sensor-Based Localization #Remote Sensing and LiDAR Applications #Advanced Optical Sensing Technologies
- Maximum Entropy Deep Inverse Reinforcement Learning
2015/07/17 by Markus Wulfmeier, Wulfmeier, Markus, Peter Ondrúška +3 · 11 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- A Review of Differentiable Simulators
2024/07/08 by R. Newbury, Jack Collins, Newbury, Rhys +11 · 15 citations
Decision Sciences · #FOS: Computer and information sciences #Robotics (cs.RO) #Simulation Techniques and Applications
- Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
2016/09/21 by Martin Engelcke, Dushyant Rao, Engelcke, Martin +7 · 1 voice · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO) #cs.AI #cs.CV #cs.LG #cs.NE #cs.RO
- TACO: Learning Task Decomposition via Temporal Alignment for Control
2018/03/02 by Kyriacos Shiarlis, Markus Wulfmeier, Shiarlis, Kyriacos +7 · 5 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #AI-based Problem Solving and Planning
- World Models via Policy-Guided Trajectory Diffusion
2023/12/13 by Marc Rigter, Jun Yamada, Rigter, Marc +3 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- From Machine Learning to Robotics: Challenges and Opportunities for\n Embodied Intelligence
2021/10/28 by Nicholas Roy, Roy, Nicholas, Ingmar Posner +38 · 5 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
2018/04/21 by Oliver Groth, Fabian B. Fuchs, Groth, Oliver +5 · 3 citations
Engineering · Neuroscience · Computer Science · #Robot Manipulation and Learning #Tactile and Sensory Interactions #Advanced Vision and Imaging
- Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
2021/11/15 by Walter Goodwin, Goodwin, Walter, Sagar Vaze +5 · 3 citations
Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
- The Complexity Dynamics of Grokking
2024/12/13 by Branton DeMoss, DeMoss, Branton, Silvia Sapora +7 · 1 voice · 6 citations
Computer Science · Engineering · #Metal Forming Simulation Techniques #Vibration and Dynamic Analysis #cs.LG
- Watch This: Scalable Cost-Function Learning for Path Planning in Urban\n Environments
2016/07/08 by Markus Wulfmeier, Dominic Zeng Wang, Wulfmeier, Markus +3 · 1 citation
Engineering · Computer Science · #Autonomous Vehicle Technology and Safety #Robotic Path Planning Algorithms #Robotics and Sensor-Based Localization
- Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy
2016/10/05 by Dan Barnes, Barnes, Dan, Will Maddern +3 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotic Path Planning Algorithms #Robotics (cs.RO)
- Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments
2017/11/17 by Dan Barnes, Barnes, Dan, Will Maddern +5 · 1 citation
Computer Science · Engineering · #Video Surveillance and Tracking Methods #Robotics and Sensor-Based Localization #Advanced Vision and Imaging
- Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
2016/02/02 by Peter Ondruska, Ingmar Posner, Ondruska, Peter +1 · 1 voice
#cs.LG #cs.AI #cs.CV #cs.NE #cs.RO
- RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
2020/07/02 by Sébastien Ehrhardt, Ehrhardt, Sebastien, Oliver Groth +11 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Human Pose and Action Recognition
- There and Back Again: Learning to Simulate Radar Data for Real-World\n Applications
2020/11/29 by Rob Weston, Ōiwi Parker Jones, Weston, Rob +3 · 1 citation
Earth and Planetary Sciences · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Robotics (cs.RO) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Introspective Visuomotor Control: Exploiting Uncertainty in Deep\n Visuomotor Control for Failure Recovery
2021/03/22 by Chia-Man Hung, Hung, Chia-Man, Li Sun +7 · 1 citation
Engineering · Neuroscience · #FOS: Computer and information sciences #I.2.10 #I.2.9 #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Neural dynamics and brain function #Neuroscience and Neural Engineering #Robotics (cs.RO)
- Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion
2024/05/29 by Alex Mitchell, Mitchell, Alexander L., Wolfgang Merkt +7 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Gait Recognition and Analysis #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotics (cs.RO)
- Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
2023/09/09 by Haitz Sáez de Ocáriz Borde, Álvaro Arroyo, Borde, Haitz Saez de Ocariz +7 · 1 citation
Computer Science · Materials Science · #Human Pose and Action Recognition #Machine Learning and Data Classification #Machine Learning in Materials Science
- Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One?
2025/01/28 by Duc-An Nguyen, Raunak Bhattacharyya, Nguyen, Duc-An +9 · 1 citation
Engineering · #Teleoperation and Haptic Systems
- First Steps: Latent-Space Control with Semantic Constraints for\n Quadruped Locomotion
2020/07/03 by Alex Mitchell, Mitchell, Alexander L., Martin Engelcke +13 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotic Locomotion and Control #Robotics (cs.RO)
- D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
2024/03/19 by Jun Yamada, Yamada, Jun, Shaohong Zhong +5 · 1 citation
Engineering · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotic Mechanisms and Dynamics #Robotics (cs.RO)
- From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery
2026/07/14 by Ingmar Posner, Anson Lei, Bernhard Schölkopf · 1 voice
Computer Science · #cs.AI