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Trajectory Optimization

Benchmarks

Dataset Name	SOTA Method	Metric
Contact-rich trajectory environments (ant, halfcheetah, hopper, humanoidrun, humanoidstandup, humanoidtrack, pushT, walker2d) (test)	DIDA	Optimized Cost0.032	24	2mo ago
2D Car		Mean Execution Time (ms)2.1	10	1mo ago
quadrotor		Mean Execution Time (s)0.0028	10	1mo ago
Push T	PISTO	Time (s)134.6235	8	2mo ago
Humanoid Standup		Computational Time (s)17.6	8	2mo ago
Walker2D		Computational Time (s)34.5	8	2mo ago
Barkour nx=37 nu=12 Tmpc=50 All Trajectories	SV-DDP	Success Rate92	7	1mo ago
Barkour nx=37, nu=12, Tmpc=50 Feasible Trajectories	SV-DDP	Success Rate91	7	1mo ago
Ant nx=29, nu=8, Tmpc=40 All Trajectories	MG-ME-DDP	Success Rate83	7	1mo ago
Ant (nx=29, nu=8, Tmpc=40) [Feasible Trajectories]	MG-ME-DDP	Success Rate82	7	1mo ago
Quadrotor nx=12, nu=4, Tmpc=70 All Trajectories	UG-ME-DDP	Success Rate (%)95.6	7	1mo ago
Quadrotor (nx=12, nu=4, Tmpc=70) Feasible Trajectories	UG-ME-DDP	Success Rate91.3	7	1mo ago
Quadrotor (nx=12, nu=4, Tmpc=50) All Trajectories	SV-DDP	Success Rate89.4	7	1mo ago
Quadrotor (nx=12, nu=4, Tmpc=50) Feasible Trajectories	SV-DDP	Success Rate83.1	7	1mo ago
2D Car (nx=3, nu=2, Tmpc=70) [All Trajectories]	SV-DDP	Success Rate95	7	1mo ago
2D Car nx=3, nu=2, Tmpc=70 Feasible Trajectories	SV-DDP	Success Rate85	7	1mo ago
2D Car (nx=4, nu=2, Tmpc=50) [All Trajectories]	SV-DDP	Success Rate93.8	7	1mo ago
2D Car (nx=4, nu=2, Tmpc=50) [Feasible Trajectories]	SV-DDP	Success Rate81.9	7	1mo ago
humanoid track	DIDA	Optimized Cost0.845	6	2mo ago
hopper	DIDA	Optimized Cost0.623	6	2mo ago
halfcheetah	DIDA	Optimized Cost0.414	6	2mo ago
ant	DIDA	Optimized Cost0.032	6	2mo ago
Control trajectory optimization high-dimensional (d=32)	SHAPE	Hit rate54.8	6	2mo ago
Control trajectory optimization low-dimensional (d=8)		Final Distance0.233	6	2mo ago
Pusher Slider		Runtime (seconds)12.1	5	3mo ago

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