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

Combining learned data abstraction, nonlinear filtering, and time-optimal trajectory planning, the autonomous drone racing system achieved second place at the 2019 AlphaPilot Challenge, reaching speeds up to 8 m/s.

Philipp Foehn, Dario Brescianini, Elia Kaufmann et al.

Introduced hierarchical behavior and motion planning (HBMP), validated on CARLA, successfully transferred to the real world.

Jingke Wang, Yue Wang, Dongkun Zhang et al.

Proposed RadarSLAM leverages radar geometry and probabilistic point clouds for robust large-scale mapping in all weather conditions, achieving 2.1854% translation error.

Ziyang Hong, Yvan Petillot, Sen Wang

TartanAir provides a large-scale, multi-modal synthetic dataset with challenging environments to advance visual SLAM robustness.

Wenshan Wang, Delong Zhu, Xiangwei Wang et al.

Using ν-Gap based dynamics similarity and Bayesian optimization, the proposed method efficiently selects source experiences, improving target robot performance by 62%.

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

Proposes a CVaR-based submodular optimization algorithm with theoretical guarantees for risk-aware multi-robot coordination.

Lifeng Zhou, Pratap Tokekar

GTI leverages trajectory intersections with GMM and cVAE to enable robots to generalize long-horizon tasks from few demonstrations, outperforming BC and GCBC.

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

Proposes an adaptive task allocation framework using real-time performance feedback to update robot capability parameters without environmental models.

Yousef Emam, Siddharth Mayya, Gennaro Notomista et al.