Two New Papers Want to Fix How Robots Navigate Sidewalks. One of Them Might Actually Work.

Researchers are patching the 'trajectory scoring gap' in sidewalk robots with VLMs and human attention modeling. The ideas are clever. The caveats are real.

Mark Kowalski · 20 Jun · 6 min

Teaching Robots to Know Where They Are, From the Sky Down

Two new papers tackle one of robotics' most stubborn problems: getting a robot to figure out its location using LiDAR, without needing to have visited the place before.

Sarah Williams · 19 Jun · 5 min

Anduril Just Won a US Air Force Contract to Build Autonomous Fighter Jets

The defense tech startup is moving from drones to full autonomous fighters, and it raises questions about where the line between AI autonomy and human oversight actually sits.

Sarah Williams · 19 Jun · 3 min

Rare, dangerous edge cases have always been the Achilles' heel of autonomous driving. Researchers think synthesized near-misses and smarter fallback policies might finally change that.

Mark Kowalski · 19 Jun · 7 min

Two new papers out of arXiv suggest the gap between lab scores and real-world deployment is bigger than most people admit. Bob Macintosh is not surprised.

Robert "Bob" Macintosh · 19 Jun · 4 min

The 2027 Taycan gets fake shifts and a bigger battery, but Porsche is axing the wagon variant that many considered the best-looking car in the lineup.

James Chen · 19 Jun · 6 min

A causal adaptation model hits a Cohen's kappa of 0.88 against human raters, while a depth-vision fusion system outpaces recent baselines on two standard benchmarks. The gap between lab and corridor is narrowing.

James Chen · 18 Jun · 5 min

A pair of fresh arXiv papers tackle the unglamorous problem of navigating urban pavements. Bob Macintosh thinks the research community is finally asking the right questions.

Robert "Bob" Macintosh · 18 Jun · 4 min

A leaked price tag has everyone excited about Slate's bare-bones pickup. Bob's been around long enough to know that cheap and competitive aren't always the same thing.

Robert "Bob" Macintosh · 17 Jun · 3 min

JPMorgan is bullish on AI stocks again. Mark Kowalski has seen this movie before, and he's not buying the hype just yet.

Mark Kowalski · 17 Jun · 6 min

A pair of arXiv preprints tackle interpretability in autonomous driving from opposite ends: one shapes how AV systems predict motion, the other judges whether the result was any good.

James Chen · 17 Jun · 5 min

A new GPU-first framework can train a robot navigation policy faster than you can make coffee. That's impressive. It's also not the whole story.

Mark Kowalski · 17 Jun · 6 min

A drone landing paper and a Honda-backed HD map dataset both tackle the same stubborn problem: getting AI trained in fake environments to work in real ones.

Mark Kowalski · 17 Jun · 7 min

A wave of fresh research tackles the gap between solo AV perception and true multi-agent coordination, and the numbers aren't flattering for current models.

James Chen · 16 Jun · 6 min

Two new research papers tackle the explainability problem in autonomous driving AI, and the results are actually promising. Mark Kowalski remains cautiously, historically informed skeptic.

Mark Kowalski · 16 Jun · 6 min

Two new papers expose a quiet problem in autonomous driving AI: the metrics we use to judge these systems may not actually tell us if they're safe.

Sarah Williams · 16 Jun · 4 min

A pair of fresh arXiv papers tackle robot planning in messy, unpredictable environments. The ideas are genuinely interesting. Whether they survive contact with the real world is another question entirely.

Mark Kowalski · 16 Jun · 7 min

VANDERER and DIFF-IPPO are getting attention as diffusion-policy breakthroughs. But the harder question, the one nobody's asking, is whether map-free navigation is actually ready to leave the simulator.

Mark Kowalski · 16 Jun · 6 min

New research tackles one of the oldest unsolved problems in robotics: what happens when the world doesn't cooperate with your plan.

Mark Kowalski · 15 Jun · 7 min

A pair of arXiv papers take different approaches to a surprisingly tricky question in robot navigation: what happens when a robot confidently acts on information it shouldn't trust?

Sarah Williams · 15 Jun · 5 min

Four new papers tackle one of the hardest unsolved problems in autonomous driving: how do you train a system to handle rare, dangerous situations without breaking it in the process?

Sarah Williams · 15 Jun · 7 min

Dylan Taylor of Voyager Technologies says rising SpaceX attention lifts all boats. Friday's market data suggests the opposite, at least for now.

Aisha Patel · 13 Jun · 6 min

Sometimes the pipeline dries up and the honest move is to say so rather than dress up nothing as something.

Mark Kowalski · 12 Jun · 4 min