pr.cs.cornell.edu
Robot Learning Lab at Cornell
http://pr.cs.cornell.edu/index.php
Personal Robotics, Co-Robots, Robotic Perception. Computer Science Department, Cornell University. The basic skills of perception, planning and language understanding are critical for robots to perform tasks in the human environments. For example, an industrial robot needs to detect objects to be manipulated, plan its motions and communicate with the human operator. A self-driving robot needs to detect objects on the road, plan where to drive and also communicate with the passenger. Cabin Sensing for Saf...
pr.cs.cornell.edu
Cornell Personals Robotics: Videos
http://pr.cs.cornell.edu/videos.php
Personal Robotics, Co-Robots, Robotic Perception. Computer Science Department, Cornell University. Robobarista: Generalizing Manipulation in 3D Pointclouds. Tell Me Dave: Grounding Language to Manipulation Instructions. Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields. Happy Holidays from the Robot Learning Lab - PR2 makes himself a friend. Beyond geometric path planning: On Learning Context Driven Trajectory Preferences. Descriptive Labelling of Activities.
bronzevillecoffee.com
Coffee Blog - Bronzeville Coffee & Tea Inc
https://www.bronzevillecoffee.com/coffee-blog
Bronzeville Coffee & Tea Inc. On June 27, 2016. And filed under Uncategorized. From the orchard to the coffee shop, females perform an important part in each and every component of the coffee supply chain. A brand-new movie short. On March 12, 2016. And filed under Uncategorized. Darker roasted coffee beans go through greater levels of heat in the roaster. Consequently, they tend to have very little levels of acidity and as a consequence might taste unplesant. But sometimes, in experienced hands,...A woo...
pr.cs.cornell.edu
Cornell Personal Robotics: Publications
http://pr.cs.cornell.edu/publications.php
Personal Robotics, Co-Robots, Robotic Perception. Computer Science Department, Cornell University. Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. Ashesh Jain, Hema S Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena. In ICCV. Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture. Ashesh Jain, Avi Singh, Hema S Koppula, Shane Soh, Ashutosh Saxena. In Cornell Tech Report. Sept 2015. [ arXiv. Sept 2015. [ PDF. Tell Me Dave: ...