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Train, The 1964

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Train, The 1964

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Editorial Reviews

Product Description

Paris, August 1944. With the Allied army closing in, German commander and art fanatic Colonel von Waldheim (Paul Scofield) steals a vast collection of rare French paintings and loads them onto a train bound for Berlin. But when a beloved French patriot is murdered while trying to sabotage von Waldheim's scheme, Labiche (Burt Lancaster), a stalwart member of the Resistance, vows to stop the train at any cost. Calling upon his vast arsenal of skills, Labiche unleashes a torrent of devastation anddestructionloosened rails, shattered tracks and head-on collisionsin an impassioned, suspense-filled quest for justice, retribution and revenge. Inspired by an actual event and highlighted by spectacular stuntwork and visual effects, The Train is "an edge-of-your-seat, thrilling, suspenseful and superior film" (The Motion Picture Guide).

"h3"Amazon.com "p"This is one of John Frankenheimer's breathless gems--all marvelous action that never lets up. Burt Lancaster plays a French train engineer during the waning days of the German occupation who tries to prevent Nazi colonel Paul Scofield from transporting a precious art collection back to Germany. Utilizing sabotage and cunning deception, Lancaster and his Resistance colleagues stall for time with the Allies on their way. It's a brilliantly made film, showing off Lancaster's acrobatic skills (he performed all of his own stunts) and Frankenheimer's sense of pacing and brilliant use of space. It's choreographed with the utmost precision (those are real explosions during the pivotal strafing sequence) and extremely authentic in its details. Lancaster is in rare minimalist form, and Scofield manages to extract intelligence and sympathy. A firecracker action film shot in crisp black and white, with yet another telling audio commentary by the always instructive director. --Bill Desowitz

Train, The 1964

by   -   September 27, 2021

How do humans become so skillful? Well, initially we are not, but from infancy, we discover and practice increasingly complex skills through self-supervised play. But this play is not random – the child development literature suggests that infants use their prior experience to conduct directed exploration of affordances like movability, suckability, graspability, and digestibility through interaction and sensory feedback. This type of affordance directed exploration allows infants to learn both what can be done in a given environment and how to do it. Can we instantiate an analogous strategy in a robotic learning system?

In this IEEE ICRA 2021 Plenary Panel organised by the Ad Hoc Committee to Explore Synergies in Automation and Robotics (CESAR), and aimed at the younger generation of roboticists and automation experts, panelists discussed about the substantial overlap in topics and research communities of both disciplines, and how to bring such communities closer.

by and   -   September 21, 2021

Growing Clearpath with Open Source Software. In this episode, Audrow Nash interviews Ryan Gariepy, Chief Technology Officer of both Clearpath Robotics and OTTO Motors.

A student team in RoboHouse has invented a robot that may enable more precise treatment of prostate cancer. The team collaborated with Martijn de Vries, a PhD researcher at TU Delft specialised in developing minimally invasive instruments for tumor treatment.

Oregon State University - Robotic Decision-Making Lab         


interview by   -   September 14, 2021

Lilly interviews Chris Lee, a graduate student at Oregon State University. Lee explains his research on marsupial robots, or carrier-passenger pairs of heterogeneous robot systems. They discuss the possible applications of marsupial robots including the DARPA Subterranean Competition, and some of the technical challenges including optimal deployment formulated as a stochastic assignment problem.

Apart from the IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist that we have been featuring in the last weeks, another series of three videos was produced together with Black in Robotics and the support of Toyota Research Institute. In this series, black roboticists give their personal examples of why diversity matters in robotics, showcase their research and explain what made them build a career in robotics.

by   -   September 9, 2021

On August 8th, 2021, a team of four graduate students from the University of Toronto presented their ethical design in the world’s first ever roboethics competition, the RO-MAN 2021 Roboethics to Design & Development Competition. During the competition, design teams tackled a challenging yet relatable scenario—introducing a robot helper to the household. The students’ solution, entitled ”Jeeves, the Ethically Designed Interface (JEDI)”, demonstrated how home robots can act safely and according to social and cultural norms. Judges from around the world, with diverse backgrounds ranging from industry professionals to lawyers and professors in ethics, gave their feedback on the team’s submission. Open Roboethics Institute also hosted an online opinion poll to hear what the general public thinks about the solution for this challenge.

This week you’ll be able to listen to the talks of Jonathan Hurst (Professor of Robotics at Oregon State University, and Chief Technology Officer at Agility Robotics) and Andrea Thomaz (Associate Professor of Robotics at the University of Texas at Austin, and CEO of Diligent Robotics) as part of this series that brings you the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems). Jonathan’s talk is in the topic of humanoids, while Andrea’s is about human-robot interaction.

Author: Andrea Facco. Credits: Istituto Italiano di Tecnologia – © IIT, all rights reserved

Gaze is an extremely powerful and important signal during human-human communication and interaction, conveying intentions and informing about other’s decisions. What happens when a robot and a human interact looking at each other? Researchers at IIT-Istituto Italiano di Tecnologia (Italian Institute of Technology) investigated whether a humanoid robot’s gaze influences the way people reason in a social decision-making context. What they found is that a mutual gaze with a robot affects human neural activity, influencing decision-making processes, in particular delaying them. Thus, a robot gaze brings humans to perceive it as a social signal. These findings have strong implications for contexts where humanoids may find applications such as co-workers, clinical support or domestic assistants.

We’re reaching the end of this focus series on IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist. This week you’ll meet Michelle Johnson, Associate Professor of Physical Medicine and Rehabilitation at the University of Pennsylvania.

In February we asked ‘How can robotics help Rob, the gas leak detector?’, when announcing our collaboration with Alliander about cognitive robotics and worker wellbeing. Today, we are able to share some tentative insights.

As part of our series showcasing the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems), this week we bring you Nikolaus Correll (Associate Professor at the University of Colorado at Boulder) and Cynthia Breazeal (Professor of Media Arts and Sciences at MIT). Nikolaus’ talk is on the topic of robot manipulation, while Cynthia’s talk is about the topic of social robots.

During the last decades robots are transforming from simple machines to cognitive collaborators. The distance that has been covered is long, but there are still challenges, as well as opportunities that lie ahead. That was also the main topic of discussion in the agROBOfood event ‘Visioning the future of agri-food robotics’ by a panel of experts of the domain.

In this fourth release of our series dedicated to IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist, we bring you Peter Corke. He is a Distinguished Professor of Robotic Vision at Queensland University of Technology, Director of the QUT Centre for Robotics, and Director of the ARC Centre of Excellence for Robotic Vision.

The IEEE Robotics and Automation Society has recently released the list of winners of their best paper awards. Below you can see the list and access the publications. Congratulations to all winners!

Marsupial Robots
September 14, 2021

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