MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Sarthak Ahuja – MSR Thesis Talk

NSH 4305

Zoom Link: https://cmu.zoom.us/j/8978517404 Title: Visual Assessment for Non-Disruptive Object Extraction Abstract: Robots operating in human environments need to perform a variety of dexterous manipulation tasks on object arrangements that have complex physical support relationships, e.g. procuring utensils from a large pile of dishes, grabbing a bottle from a stuffed fridge, or fetching a book from a loaded [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Eric Dexheimer – MSR Thesis Talk

Location: https://cmu.zoom.us/j/98262481359?pwd=dnN4UERmQlF6dVVROTQ1czYrU215UT09 Title: Efficient Multiresolution Scrolling Grid for MAV Obstacle Avoidance Abstract: In this talk, we propose the use of an efficient, structured multiresolution representation for robot mapping and planning.  We focus on expanding the sensor range of dense local grids for memory-constrained platforms.  While multiresolution data structures have been proposed previously, we avoid processing [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Tanmay Agarwal – MSR Thesis Talk

Zoom link: https://cmu.zoom.us/j/3388909661 Title: On-Policy Reinforcement Learning for Learning to Drive in Urban Settings Abstract: Traditional autonomous vehicle pipelines that follow a modular approach have been very successful in the past both in academia and industry, which has led to autonomy deployed on road. Though this approach provides ease of interpretation, its generalizability to unseen [...]

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Jay Patrikar – MSR Thesis Talk

Zoom link: https://cmu.zoom.us/j/93391276533?pwd=RTM4NTc0cTJETmRudGcwenNCSVgzdz09 Title: Wind-Field Estimation and Curvature Continuous Path Planning for Low Altitude Urban Aerial Mobility Abstract: Unmanned Aerial Vehicles (UAVs) operating in dense urban areas need the ability to generate wind-aware collision-free, smooth, dynamically feasible trajectories between two locations. The complex and high-rise structure of the modern urban landscape affects the wind flow [...]

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Benjamin Freed – MSR Thesis Talk

Where?:https://cmu.zoom.us/j/96355036481?pwd=OCtBeWZpMnZsZzFlRkJWc2dkZW5qUT09   Title: Discrete Communication Learning via Backpropagation for Distributed Computing on Bandwidth-Limited Communication Networks   Abstract: Efficient inter-agent communication is an important requirement for both cooperative multi-agent robotics tasks, as well as distributed computing.  In both of these domains, the rate at which information can be transferred between robots or computing nodes is often [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Tanvir Parhar – MSR Thesis Talk

Zoom Link:https://cmu.zoom.us/j/3399055387 Title: Applications of Deep Learning for Robotic Agriculture.   Abstract: Agricultural automation is a varied and challenging field, with tasks ranging from detection to sizing and from manipulation to navigation. These are also precursors to effective plant breeding and management. Making plant measurements by manually scouting is labor-intensive and intractable at large scale. [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Hitesh Arora – MSR Thesis Talk

Zoom link: https://cmu.zoom.us/j/4937138807   Title: Off-Policy Reinforcement Learning for Autonomous Driving   Abstract: Modern autonomous driving systems continue to face the challenges of handling complex and variable multi-agent real-world scenarios. Some subsystems, such as perception, use deep learning-based approaches to leverage large amounts of data to generalize to novel scenes. Other subsystems, such as planning [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Scott Sun – MSR Thesis Talk

Zoom link: https://cmu.zoom.us/j/93097644031?pwd=RzZVSXEvdE5zZ0RDaU9FdmRUMU1vQT09 Title: Accurate Orientation Estimates for Deep Inertial Odometry Abstract: Many smartphone applications use inertial measurement units (IMUs) to sense movement, but the use of these sensors for pedestrian localization can be challenging due to their noise characteristics. Recent deep inertial odometry approaches to pedestrian navigation have demonstrated the increasing feasibility of inertial navigation. However, [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Allen Cheng – MSR Thesis Talk

Zoom link: https://cmu.zoom.us/j/6056258382   Title: Search-Based Planning with Extend Operator   Abstract: Sampling-based approaches are often favored in robotics for high-dimensional motion planning for their fast coverage of the search space. However, at best they offer asymptotic guarantees on completeness and solution quality, and returned paths are typically unpredictable due to their inherent stochasticity. By [...]

VASC Seminar
Vincent Sitzmann
Postdoc
MIT CSAIL

Implicit Neural Scene Representations

Virtual Zoom Seminar:  https://cmu.zoom.us/j/92178295543?pwd=L2dwZU5SbDY5NzZZNzZ4ZmFUclRqQT09   Abstract How we represent signals has major implications for the algorithms we build to analyze them. Today, most signals are represented discretely: Images as grids of pixels, shapes as point clouds, audio as grids of amplitudes, etc. If images weren't pixel grids - would we be using convolutional neural networks [...]