Results 121 to 130 of about 634,513 (257)
Episode 87: Vegan Cinema with Anat Pick
In this episode of Knowing Animals I am joined by Anat Pick. Anat is Associate Professor of Film Studies at Queen Mary University of London. We discuss Anat’s book chapter ‘Vegan Cinema’ which will appear in the book 'Thinking Veganism in Literature and ...
O'Sullivan, Siobhan, Pick, Anat
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Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Episode 57: Animal Politics and Policy with Peter Chen
In this episode of Knowing Animals we speak to Dr. Peter Chen from the University of Sydney about his book 'Animal Welfare in Australia: Politics and Policy’ which was published by Sydney University Press in ...
O'Sullivan, Siobhan, Chen, Peter
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Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
"The Christmas Episode" with Rabbi Stu Halpern.
Podcast / 36:33 mins.Chanukah has come and gone but we are still in the midst of the "holiday season"! This week Rivky and Uri speak with special guest Rabbi Dr. Stu Halpern about an article he wrote in Tablet Magazine last week. The article is
Stern, Rivky +2 more
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DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source

