MSR Speaking Qualifier

Title: Robust 3D reconstruction in noisy environments Abstract: Automated inspection in industrial manufacturing can minimize the total production cost of a part. Current inspection solutions often involve measuring a part manually, which interrupts the machining process. We present two non-contact real-time systems which integrate visual inspection in-line with CNC (computer numerical control) machines and ensures [...]

ZOOM Link: https://cmu.zoom.us/j/2388465851 Meeting ID: 238 846 5851 Google calendar invite link Title: Adaptive and Efficient Models for Intent Recognition Abstract: Assistive robots should have the ability to understand the intent of humans, predict their behavior, and plan to provide anticipatory assistance in complex real-life environments. In this thesis, we present adaptive and efficient algorithms for recognizing [...]

Title: Learning to Imitate, Adapt and Communicate Abstract: For AI agents to co-exist with humans, they need to be able to learn from us humans, adapt to any perceived changes in our behavior, and communicate in a manner that is easily interpretable. In this work, we investigate the following 3 subproblems: Imitation Learning, Adaptation in Human-Agent [...]

Link: https://cmu.zoom.us/j/92810207130?pwd=blphbkovYVA2b1VoSmhuZ0h2bFRzZz09 Meeting ID: 928 1020 7130 Passcode: 721620 Title: Design and Analysis of a Control Pipeline for a Manipulator in Space Abstract: Many satellites are rapidly reaching the end of their lifespans, and risk de-orbiting if no action is taken. One common problem satellites face towards the end of their lifespans is that they are running [...]

Zoom Link: https://cmu.zoom.us/j/9793644214?pwd=enpab3dPc0FBWVdqWDNrcVlabUJCZz09 Meeting ID: 979 364 4214 Passcode: 304453 Title: Trust-Aware Behavior Reflection for Robot Swarm Self-Healing Abstract: The deployment of robot swarms is influenced by real-world factors, such as motor issues, sensor failure, and wind disturbances. These factors cause the appearance of faulty robots. In a decentralized swarm, sharing incorrect information from faulty robots will lead to [...]

Meeting Link: https://cmu.zoom.us/j/2427727031   Title: Point Cloud Registration as a Classification Problem Abstract: Point Cloud Registration(PCR) is an important step in fields such as robotic manipulation, augmented and virtual reality, SLAM, etc. In the context of computer vision, registration, in general, refers to the process of aligning data obtained from different frames, and as the [...]

Title: Stiffness Mapping of Deformable Objects Through Supervised Embedding and Gaussian Process Regression   Abstract: The stiffness map of a deformable object stores information about that object's surface compliance. Thus, through a stiffness map, we gain insight into the physical properties of that object. Depending on the object, an understanding of stiffness has applications ranging [...]

Title: Spatially-Adaptive Multilayer GAN Inversion   Abstract: Existing GAN inversion and editing methods are well suited for only a target images that contain aligned objects with a clean background, such as portraits and animal faces, but often struggle for more difficult categories with complex scene layouts and object occlusions, such as cars, animals, and outdoor images. [...]

Title: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains Abstract: Off-road and unstructured environments often contain complex patches of various types of terrain, rough elevation changes, deformable objects, etc. An autonomous ground vehicle traversing such environments experiences physical interactions that are extremely hard to model at scale and thus very hard to [...]

Title: Stabilizing the Training Dynamics of Generative Models using Self-Supervision   Abstract: Generative Models have been shown to be adept in mimicking the behavior of an unknown distribution solely from bootstrapped data. However, deep learning models have been shown to overfit in either the minimization or maximization stage of the two player min-max game, resulting [...]

Title: Smartphone localization for Indoor Pedestrian Navigation Abstract: Global positioning system (GPS) interfacing with applications such as Google Maps has proven very useful for navigation in outdoor open settings. However in crowded metropolitan environments with high rise buildings or in indoor settings, GPS quickly becomes unreliable. Using sensors found on commodity smartphones to perform accurate [...]

Title: Distributed Reinforcement Learning for Autonomous Driving Abstract: Due to the complex and safety-critical nature of autonomous driving, recent works typically test their ideas on simulators designed for the very purpose of advancing self-driving research. Despite the convenience of modeling autonomous driving as a trajectory optimization problem, few of these methods resort to online reinforcement [...]

Title: Ride Comfort-Aware Visual Navigation via Self-Supervised Learning Abstract: Under shared autonomy, wheelchair users expect vehicles to provide safe and comfortable rides while following users’ high-level navigation plans. To find such a path, vehicles negotiate with different terrains and assess their traversal difficulty. Most prior works model surroundings either through geometric representations or semantic classifications, [...]

Title: Fast 6D Object Pose Refinement via Deep Texture Rendering   Abstract: We present RePOSE, a fast iterative refinement method for 6D object pose estimation. Prior methods perform refinement by feeding zoomed-in input and rendered RGB images into a CNN and directly regressing an update of a refined pose. Their runtime is slow due to the [...]

Abstract: Detect-and-Avoid (DAA) capabilities are critical for autonomous operations of small unmanned aircraft systems (sUAS). Traditionally DAA systems for large aircraft have been ground and radar-based. Due to the size, weight, and power (SWaP) constraints of sUAS, current DAA systems rely mainly on vision-based sensors and ADS-B (Automatic Dependent Surveillance-Broadcast) transponders. However, not all flying [...]

Title: Preprocessing-based Methods for Robotic Manipulation Abstract: Robotic manipulation is a key problem for several applications such as welding, pick-and-place, and automated assembly. However, motion planning for manipulation can be computationally expensive as it requires planning in the high-dimensional configuration space of the manipulator. Additionally, task-specific constraints such as strict time limits or constraints on end-effector [...]

Title: Socially-Aware Trajectory Prediction Guided by Motion Patterns Abstract: As intelligent robots across domains start collaborating with humans in shared environments, e.g., urban settings and terminal airspace, algorithms that enable them to reason over human motion and intent are important to enable seamless and safe interplay. In our work, we study human intent by focusing on the [...]

Date: Tuesday, July 19, 2022 Time: 9:00 AM - 10:00 AM ET Location: Newell-Simon Hall (NSH) 3305 Title: Detect Active Object in a Sequential Voting Process Abstract: A key component of understanding hand-object interactions is the ability to identify the active object -- the object that is being manipulated by the human hand. In order to accurately localize the [...]

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 [...]

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, [...]

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 [...]