4 embodied-AI and robotics papers accepted at ICRA 2024, 3 with code.4 篇被 ICRA 2024 接收的具身智能与机器人论文，其中 3 篇附代码。
arXiv papers are listed when their arXiv comment says they were accepted (e.g. 'Accepted to CoRL 2026'); papers that do not say so are missing, and the list grows as authors post camera-ready versions. Curated entries carry a hand-checked venue. For CoRL 2026 the official program is used as well.arXiv 论文仅在其 arXiv 备注写明已被接收（如 “Accepted to CoRL 2026”）时列入；未注明的论文不会出现，列表会随作者上传终稿而增加。精选条目的会议/期刊信息经过人工核对。CoRL 2026 另依据官方日程。
A portable dual-arm exoskeleton (about $600 in parts, per the paper) for joint-level teleop and cheap in-the-wild demos; reports few-minute teleop plus wild data rivals much longer teleop-only training.便携式双臂外骨骼（论文称零件成本约 600 美元），可做关节级遥操作并低成本采集野外示教；报告称少量遥操作数据加野外数据即可达到甚至超过长时间纯遥操作训练的效果。
@misc{fang2023airexo,
title = {{AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild}},
author = {Hongjie Fang and Hao-Shu Fang and Yiming Wang and Jieji Ren and Jingjing Chen and Ruo Zhang and Weiming Wang and Cewu Lu},
year = {2023},
eprint = {2309.14975},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2309.14975},
}
VAMP — vectorizes collision checking with CPU SIMD so sampling-based planners like RRT-Connect solve arm motion-planning queries in microseconds to milliseconds, no GPU needed.VAMP：用 CPU SIMD 指令把碰撞检测向量化，使 RRT-Connect 等基于采样的规划器在微秒到毫秒级求解机械臂运动规划，无需 GPU。
@misc{gao2023physically,
title = {{Physically Grounded Vision-Language Models for Robotic Manipulation}},
author = {Jensen Gao and Bidipta Sarkar and Fei Xia and Ted Xiao and Jiajun Wu and Brian Ichter and Anirudha Majumdar and Dorsa Sadigh},
year = {2023},
eprint = {2309.02561},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2309.02561},
}
Zero-shot object-goal navigation that scores exploration frontiers by vision-language similarity to the target, with no task-specific training; tested in Habitat and on a Spot robot.零样本目标物体导航：用视觉-语言模型对探索前沿与目标的相关度打分来决定往哪走，无需针对任务训练；在 Habitat 和 Spot 机器人上验证。
@misc{yokoyama2023vlfm,
title = {{VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation}},
author = {Naoki Yokoyama and Sehoon Ha and Dhruv Batra and Jiuguang Wang and Bernadette Bucher},
year = {2023},
eprint = {2312.03275},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2312.03275},
}