Proposes a multi-stage multiple-shooting contact-implicit trajectory optimization (CIO) method with Newton impact law, achieving real-time dynamic object manipulation for 6-DOF robots.

Jean-Pierre Sleiman, Jan Carius, Ruben Grandia et al.

LbW framework combines unsupervised human-robot translation and keypoint detection, enabling single-video imitation learning with superior performance across five tasks.

Haoyu Xiong, Quanzhou Li, Yun-Chun Chen et al.

MP3 introduces an end-to-end mapless autonomous driving model using probabilistic scene representations for safe, interpretable decisions.

Sergio Casas, Abbas Sadat, Raquel Urtasun

Using GAIL for 6-DOF robot peg-in-hole tasks with 6μm precision.

Sagar Gubbi, Shishir Kolathaya, Bharadwaj Amrutur

Human-in-the-loop imitation learning via remote teleoperation improves robot task success in bottleneck regions.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín et al.

Transformer-based topological planning with GNNs outperforms end-to-end VLN models, achieving 38.6% success rate on VLN-CE.

Kevin Chen, Junshen K. Chen, Jo Chuang et al.

Goal-conditioned Transporter networks with deep feature rearrangement enable flexible multi-step deformable object manipulation, achieving success rates up to 100% on simulated benchmarks.

Daniel Seita, Pete Florence, Jonathan Tompson et al.

FINO-Net fuses RGB, depth, and audio data to achieve 98.60% failure detection accuracy using deep multimodal neural networks.

Arda Inceoglu, Eren Erdal Aksoy, Abdullah Cihan Ak et al.

Contact mode-guided sampling planner enables quasistatic 2D dexterous manipulation, automatically generating contact transitions and trajectories, with probabilistic completeness.

Xianyi Cheng, Eric Huang, Yifan Hou et al.

Waymo employs a multi-layered safety validation framework—hardware redundancy, scenario-based testing, and safety governance—to ensure Level 4 autonomous driving system (Waymo Driver) safety.

Nick Webb, Dan Smith, Christopher Ludwick et al.

Proposes Nonconvex Maximal Dissipation Principle (NMDP) for stable contact simulation using backward Euler, solving nonlinear coupled equations via projected gradient method.

Zherong Pan, Kris Hauser

FUEL uses FIS plus hierarchical planning to make UAV exploration 3–8× faster on bridge and maze benchmarks.

Boyu Zhou, Yichen Zhang, Xinyi Chen et al.

FAST-LIO employs tightly-coupled iEKF to fuse 1200+ features with IMU, achieving real-time robustness in 25ms per step.

Wei Xu, Fu Zhang

Proposes an integrated task and motion planning (TAMP) algorithm combining discrete task structures with continuous motion parameters, achieving 85% success in complex object manipulation tasks.

Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay et al.

robosuite v1.5, based on MuJoCo, offers a modular simulation platform with multi-robot models and multi-sensor integration, advancing robot learning research.

Yuke Zhu, Josiah Wong, Ajay Mandlekar et al.

Proposes a simple visual imitation interface using commercial reacher-grabber tools and SfM, achieving 87% success in pushing and 62% in stacking tasks.

Sarah Young, Dhiraj Gandhi, Shubham Tulsiani et al.

Using a chopstick teleoperation interface, the study analyzes human strategies, achieving the highest success rate in three out of five objects.

Liyiming Ke, Ajinkya Kamat, Jingqiang Wang et al.

Proposed a multi-modal behavioral cloning controller for peg-in-hole tasks, achieving 100% success rate.

Yifang Liu, Diego Romeres, Devesh K. Jha et al.

Proposes inverse module transfer with Bayesian optimization to guarantee positive transfer in robotics, validated on quadrotors.

Michael J. Sorocky, Siqi Zhou, Angela P. Schoellig

Shared grasping optimizes grasp via environmental contacts, using hybrid force-velocity control for stability.

Yifan Hou, Zhenzhong Jia, Matthew T. Mason