The International Conference on Intelligent Robots and Systems (IROS) is free to access this year, giving anyone a look into the latest robotics research. Presentations and workshops will be on-demand, starting October 25th, allowing attendees to view the research they desire at any time.
Workshops
From Michigan, there are several faculty participating in workshops, including:
- Robotics-Inspired Biology with Talia Moore
- State of the Art in Robotic Leg Prostheses: Where We Are and Where We Want to Be with Bobby Gregg and Elliott Rouse
- MIT Mini-Cheetah Workshop with Jessy Grizzle and Maani Ghaffari
- Benchmarking Progress in Autonomous Driving with Ed Olson
- Mechanisms and Design: from Inception to Realization with Elliott Rouse
- Managing Deformation: A Step Towards Higher Robot Autonomy with Dmitry Berenson
Papers
In addition, several students and researchers are presenting their work:
- Low Latency Trajectory Predictions for Interaction Aware Highway Driving Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson [arXiv] [IEEE Xplore] [code]
- Polylidar - Polygons From Triangular Meshes Jeremy Castagno, Ella Atkins [IEEE Xplore] [code]
- Parts-based articulated object localization in clutter using belief propagation Jana Pavlasek, Stanley Lewis, Karthik Desingh, Odest Chadwicke Jenkins [arXiv] [video] [talk]
- TSBP: Tangent space belief propagation for manifold learning Thomas Cohn, Odest Chadwicke Jenkins, Karthik Desingh, Zhen Zeng [IEEE Xplore] [video]
- Monocular Depth Prediction through Continuous 3D Loss Minghan Zhu, Maani Ghaffari, Yuanxin Zhong, Pingping Lu, Zhong Cao, Ryan M. Eustice, Huei Peng [arXiv] [video] [code]
- Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty Bo Fu, William Smith, Denise Rizzo, Matthew Castanier, Kira Barton [arXiv] [video]
- Image Transformation and CNNs: A Strategy for Encoding Human Locomotor Intent for Autonomous Wearable Robots Ung Hee Lee, Justin Bi, Rishi Patel, David Fouhey, Elliott Rouse [IEEE Xplore] [code to be released at Michigan AI Symposium]
- Unsupervised Pedestrian Pose Prediction — A deep predictive coding network-based approach for autonomous vehicle perception Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson [IEEE Xplore] [video] [talk] [code]
- SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images Gideon Billings, Matthew Johnson-Roberson [arXiv] [IEEE Xplore]