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Sebastian Scherer

IROS 2026×4CVPR 2026×3ICML 2026多模态强化学习与后训练推理代码可解释性

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0 一作 · 8 篇 · IROS 2026 / CVPR 2026 / ICML 2026

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2026 顶会论文

8

作者位次 #5/6ICML 2026Poster· Applications / Robotics

SafeDec: Constrained Decoding for Safe Autoregressive Generalist Robot Navigation Policies

Parv Kapoor · Akila Ganlath · Michael Clifford · Changliu Liu · Sebastian Scherer · Eunsuk Kang

代码OpenReview

作者位次 #5/5CVPR 2026Poster· Computer Vision & Pattern Recognition

Co-Me: Confidence Guided Token Merging for Visual Geometric Transformers

Yutian Chen · Yuheng Qiu · Ruogu Li · Jay Patrikar · Sebastian Scherer

多模态OpenReview 项目页

作者位次 #6/7CVPR 2026Poster· Computer Vision & Pattern Recognition

Any4D: Unified Feed-Forward Metric 4D Reconstruction

Jay Karhade · Nikhil Keetha · Yuchen Zhang · Tanisha Gupta · Akash Sharma · Sebastian Scherer · Deva Ramanan

多模态OpenReview 项目页

作者位次 #4/5CVPR 2026Poster· Computer Vision & Pattern Recognition

Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera

Mukai Yu · Mosam Dabhi · Liuyue Xie · Sebastian Scherer · Laszlo A. Jeni

多模态可解释性OpenReview 项目页

作者位次 #8/8IROS 2026Poster· Benchmarking Robustness in Visual Navigation

Distilling Global Traversability Priors for Image-Based Affordance Prediction in Off-Road Environments

Matthew Sivaprakasam · Samuel Triest · Micah Nye · Deegan Atha · Shehryar Khattak · David D Fan · Wenshan Wang · Sebastian Scherer

多模态强化学习与后训练评测与基准Vision-Based NavigationField RobotsDeep Learning for Visual PerceptionOpenReview

作者位次 #7/7IROS 2026Poster· Exploring and Reconstructing the World from Above

IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning

Brady Moon · Nayana Suvarna · Andrew Jong · Satrajit Chatterjee · Junbin Yuan · Muqing Cao · Sebastian Scherer

推理Aerial Systems: Perception and AutonomyMotion and Path PlanningReactive and Sensor-Based PlanningField RobotsOpenReview

作者位次 #7/7IROS 2026Poster· Safety and Robustness Under Uncertainty

Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning

Navin Sriram Ravie · Andrew Jong · Krrish Jain · John Liu · Omar Alama · Bijo Sebastian · Sebastian Scherer

推理安全Learning from ExperienceRobot SafetySemantic Scene UnderstandingOpenReview

作者位次 #8/8IROS 2026Poster· Generative and Predictive Models for Robot Behavior

GrndCtrl: Grounding World Models Via Self-Supervised Reward Alignment

Haoyang He · Jay Patrikar · Dong-Ki Kim · Max Smith · Daniel McGann · Ali-Akbar Agha-Mohammadi · Shayegan Omidshafiei · Sebastian Scherer

多模态对齐与偏好强化学习与后训练Vision-Based NavigationReinforcement LearningDeep Learning for Visual PerceptionOpenReview

常见合作者

JPJay Patrikar×2 AJAndrew Jong×2 PKParv Kapoor AGAkila Ganlath MCMichael Clifford CLChangliu Liu EKEunsuk Kang YCYutian Chen YQYuheng Qiu RLRuogu Li JKJay Karhade NKNikhil Keetha