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cs.RO2026
Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
Zihao Zhang, Haochen Tian, Tianyu Li +5
Visual foundation models (VFMs) are increasingly integrated into end-to-end autonomous driving for their powerful representations, yet it remains unclear when these representations…
cs.RO2026
HACo: Learning Haptic Active Compliance for Force-Aware Dexterous Manipulation
Naisheng Ye, Yinzhe Zhou, Junkai Zhao +5
Contact-rich dexterous manipulation requires policies that translate physical feedback into motion commands while regulating interaction loads across evolving multi-contact interac…
cs.RO2026
World Engine: Towards the Era of Post-Training for Autonomous Driving
Tianyu Li, Li Chen, Caojun Wang +16
Autonomous vehicles must operate safely in the real world, where errors can have severe consequences. Although modern end-to-end driving policies excel in routine scenarios, their…