Robot Task Execution by Policy Adaptation and Switching Among Multiple Tasks

GHC 8102

Abstract: While mobile robots reliably perform service tasks by accurately localizing and safely navigating while avoiding obstacles, they do not respond in any other way to their surroundings. In this work, we introduce two methods that enable the robots to be more responsive to their environment, including humans and other robots. The first algorithm enables [...]

Visual SLAM with Semantic Scene understanding

3305 Newell-Simon Hall

Abstract: Simultaneous localization and mapping (SLAM) has been widely used in autonomous robots and virtual reality. It estimates the sensor motion and maps the environment at the same time. The classic sparse feature point map of visual SLAM is limited for many advanced tasks including robot navigation and interactions, which usually require a high-level understanding of [...]

Vision with Small Baselines

NSH 4305

Abstract: Portable camera sensor systems are becoming more and more popular in computer vision applications such as autonomous driving, virtual reality, robotics manipulation and surveillance, due to the decreasing expense and size of RGB camera. Despite the compactness and portability of the small baseline vision systems, it is well-known that the uncertainty in range finding [...]

Multi-Modal Geometric Learning for Grasping

1305 Newell Simon Hall

Abstract:  In this talk, we will describe methods to enable robots to grasp novel objects using multi-modal data and machine.  The starting point is an architecture to enable robotic grasp planning via shape completion using a single occluded depth view of objects.  Shape completion is accomplished through the use of a 3D CNN. The network [...]

Machine Imagination: Data-driven User Controllable Visual Content Creation

NSH 3305

Abstract: Humans have the remarkable ability to create visual worlds far beyond what could be seen by human eye, including inferring the state of unobserved, imagining the unknown, and thinking about diverse possibilities about what lies in the future. Machines lack this inquisitive ability despite the current revolution in machine learning and computer vision. We [...]