Carnegie Mellon University
MSR Thesis Talk: Ruohai Ge
Title: Real-Time Visual Localization System in Changing and Challenging Environments via Visual Place Recognition Abstract: Localization is one of the fundamental capabilities to guarantee reliable robot autonomy. Many excellent Visual-Inertial and LiDAR-based algorithms have been developed to solve the localization problem. However, deploying these methods on a real-time portable device is challenging due to high [...]
TechCrunch Sessions: Robotics 2022
Matt Johnson-Roberson will be one of the featured speakers in TC Sessions: Robotics 2022 on Thursday, July 21. You can register and stream for free! From the TechCrunch event site: Where Minds Meet Machines: The Future of Robotics Rapid advances in robotics technology continue to change the way businesses compete — and how people work [...]
Carnegie Mellon University
MSR Thesis Talk – Zixuan Huang
Title: Seeing the Unseen: Closed-loop Occlusion Reasoning for Cloth Manipulation Robotic manipulation of cloth remains challenging due to the complex dynamics of cloth, lack of a low-dimensional state representation, and self-occlusions. Particularly, self-occlusion makes it difficult to estimate the full state of the cloth, which poses significant challenges to policy learning and dynamics modeling. Ideally, [...]
Carnegie Mellon University
MSR Thesis Talk – Zhaoyuan Fang
Title: Features in Extra Dimensions: Spatial and Temporal Scene Representations Abstract: Computer vision models have made great progress in featurizing pixels of images. However, an image is only a projection of the actual 3D scene: occlusions and perspective distortions exist. To arrive at a better representation of the scene itself, extra dimensions are needed to [...]
Carnegie Mellon University
MSR Thesis Talk – Yunchu Zhang
Title: Library of behaviors and tools for robot manipulation Abstract: Learned policies often fail to generalize across environment variations, such as, different objects, object arrangements, or camera viewpoints. Moreover, most policies are trained and tested in simulation environments, and the sim2real gap remains large under weak visual representations that do not disentangle the scene from [...]
Carnegie Mellon University
Learning Structured World Model for Deformable Object Manipulation
Abstract: Manipulation of deformable objects challenges common assumptions in robotic manipulation, such as low-dimension state representation, known dynamics, and minimal occlusion. Deformable objects have high intrinsic state representation, complex dynamics with high degrees of freedom, and severe self-occlusion. These properties make them difficult for state estimation and planning. In this thesis, we introduce benchmarks and [...]
Safe control under input limits with neural CBF
Abstract: In theory, control barrier functions (CBFs) provide a convenient means to construct provably safe controllers. However, a typical problem is that the constructed controller will exceed input limits, and merely clipping the inputs will break all safety guarantees. To address this practical flaw, we consider synthesizing a CBF that will respect input limits. We [...]
Carnegie Mellon University
MSR Thesis Talk – Chi Yen Lee
Title: Enhancing Quadruped Locomotion Stability with Reaction Wheel Systems and Model Predictive Control Zoom: https://cmu.zoom.us/j/96808397411?pwd=YnFDaFk1WVVyZjc5UndlOTBZL0tjUT09 Abstract: The development of quadruped robots offers a mobility solution that allows robot agents to navigate complicated terrains, making them extremely versatile robots in a variety of environments. Today, there are a number of research challenges facing quadruped development. First, the [...]
MSR Thesis Talk – Chu Er Pan
Title: 6D Object Pose Estimation for Manipulation via Weak Supervision Abstract: 6D object pose estimation is essential for robotic manipulation tasks. Existing learning-based pose estimators often rely on training from labeled absolute poses with fixed object canonical frames, which (1) requires datasets with annotations of object absolute pose that are resource-intensive to collect; (2) is hard [...]
Carnegie Mellon University
MSR Thesis Talk: Ruoyang Xu
Title: Using 3D Imaging Radar for Indoor Localization and Mapping Zoom: https://cmu.zoom.us/j/95090884062?pwd=dVZDVHJDTGVUWW9iSlJLTWtidThBUT09 Meeting ID: 950 9088 4062 Passcode: 411959 Abstract: 3D Imaging Radars offer robust perception capability through visually demanding environments due to the unique penetrative and reflective properties of millimeter waves. However, the utilization of Imaging radar for robot navigation and mapping remains under-explored due [...]